Part 6: Component-Based Software Engineering — 15 Questions and Answers on Developing Business Architecture for the Future

1. Introduction

Component-Based Software Engineering (CBSE), sometimes also called Component-Based Development, is a relatively obscure topic that, in my 18+ years of experience in software development, I cannot recall having encountered in generic discussions of software development.

This obscurity of CBSE is intriguing since when you understand what it means, you will immediately recognize that it’s part and parcel of how we normally think about software architecture.

In this article, we will trace the origins of CBSE to its creator and the circumstances under which it was conceived. Next, we will examine CBSE in detail, using examples of modern software systems to illustrate its relevance to current software development projects. Finally, we will try to fit CBSE into our main framework for Operational Excellence.

The discussion has been structured as 15 questions and answers, which we hope will give the reader enough information about the topic to continue the research independently if required.

2. What Does This Series on Solution Design Cover?

This article on CBSE is one of several articles on solution design. You can access the rest of these articles using the links below:

3. Top 15 Questions and Answers on Component-Based Software Engineering

3.1 What is Component-Based Software Engineering?

— Philippe Kruchten, Modeling Component Systems with the Unified Modeling Language

Component-based software engineering (CBSE), or component-based development (CBD), is a software engineering methodology that prioritizes composing software applications through integration over implementing these from scratch every time.

The philosophy of CBSE is as follows: if you want to build high-quality software at lower costs and higher qualities, systematic reuse of existing components must be your principal strategy.

CBSE relies on the availability of ready-made software components that allow the assembly of a large software system from loosely coupled, modular, reliable components. Central to CBSE is the concept of separation of concerns among the different subsystems of the software application.

3.2 How did Component-Based Software Engineering start?

Imagine that whenever you wanted to write a software application, you also needed to develop all the drivers that would allow that application to interact with the external world. In such a world, software applications would have never reached the scales that we are familiar with today. That, however, was the state of the software industry in the 1960s, before Component-Based Software Engineering (CBSE) was a thing.
Imagine that whenever you wanted to write a software application, you also needed to develop all the drivers that would allow that application to interact with the external world. In such a world, software applications would have never reached the scales we are familiar with today. That, however, was the state of the software industry in the 1960s, before Component-Based Software Engineering (CBSE) was a thing.

3.2.1 The Software Crisis of the 1960s

Component-based software engineering (CBSE) was first introduced as a topic of discussion during the height of the software crisis.

The “software crisis” of the mid-1960s was a period during which the field of software development faced significant challenges and difficulties in managing the growing complexity of software systems. This term gained prominence as the demand for software increased, and developers struggled to cope with the scale and intricacy of creating and maintaining large software applications.

Several factors contributed to the software crisis:

  • Increasing Complexity: As software systems became more intricate, it became difficult for developers to manage and maintain them. The complexity of code was growing faster than the tools and methodologies available to handle it.
  • IBM’s development of the System/360 in the early 1960s is a great example of increasing complexity. This was a family of mainframe computers with a range of compatible models. The software for these systems became increasingly complex as they supported diverse applications, and managing this complexity proved challenging.
  • Lack of Standardization: During this period, there was a lack of standardized processes and methodologies for software development. Each project often required a unique approach, leading to inefficiencies and difficulties in collaboration.
  • An example of this was the lack of a standardized programming language. During this period, numerous programming languages were tailored for specific purposes, being able to run on specific hardware only. This lack of standardization hindered interoperability and code sharing.
  • Poor Quality: The rush to meet deadlines and the lack of rigorous development practices resulted in numerous bugs and errors in software. This compromised the reliability and stability of many applications.
  • The development of the OS/360 operating system by IBM for the System/360. The project faced considerable challenges, leading to a system with numerous defects. This highlighted the difficulty of ensuring high-quality software in the face of increasing complexity. The software for early computer systems was often released with known bugs, and users had to wait for subsequent patches. This practice contributed to the perception of poor software quality.
  • Limited Reusability: Code reuse was a significant challenge, as developers often had to write new code for each project rather than build on existing, proven components. This lack of reusability increased development time and effort.
  • The absence of modular programming practices. Code was often written monolithically, making extracting and reusing specific functionalities challenging.
  • Project Overruns: Many software projects experienced significant delays and cost overruns during this era. Predicting the time and resources required for development proved challenging due to the unpredictable nature of software complexity.
  • The development of the COBOL programming language, intended for business data processing. The project faced delays and overruns, reflecting the challenges of accurately estimating development timelines.

3.2.2 Mass-Produced Software Components

To address these challenges, the software engineering discipline emerged, focusing on systematic approaches to software development. This led to the development of methodologies, such as the Waterfall model, and the establishment of principles like modularity, encapsulation, and abstraction. Over time, these efforts helped mitigate the software crisis and laid the foundation for modern software engineering practices.

One conference in particular set out to counter the so-called software crisis and was hosted by NATO in the Bavarian town of Garmisch in 1968. During this conference, Douglas McIlroy presented his approach to solving some aspects of the software crisis in an address titled Mass Produced Software Components.

Brad Cox of Stepstone subsequently redefined the concepts of software components to fit a more modern view. Afterwards, IBM led the path with their System Object Model (SOM) in the early 1990s. Some claim that Microsoft paved the way for deploying component software with OLE and COM. As of 2010, many successful software component models exist.

3.3 What are the building blocks of Component-Based Architecture?

In Component-Based Software Engineering (CBSE), the below vocabulary is often used when discussing system architecture and design:

  • Software system:
  • A software system comprises hardware, operating systems, software programs, and data working together to create business value for their users.
  • In modern software systems, the infrastructure part, which consists of computer hardware, network devices, and operating systems, has become less relevant as interoperable programming languages and commodity hardware are now available at relatively low costs.
  • Software component:
  • A component is a subsystem of the final design or running system. The idea of a software component is predicated on the assumption that large software systems can be broken down into smaller, more manageable subsystems that can be developed, tested, and deployed separately.
  • Web frameworks are great examples of front-end components. As we shall see a bit later, they have the necessary characteristics of functionality, interoperability, quality, and generality to meet the definition of a software component.
  • Interfaces:
  • Interfaces are interaction points between hardware and software systems or components that carry inputs and outputs from one component to another.
  • Interfaces typically come with well-defined specifications that allow components to be swapped without much effort, provided that the replacement component adheres to the published interface specifications.

We have attempted to modernize the language in which application design and architecture are discussed by introducing the Multi-Layer, Multi-Perspective Paradigm (M2LP), a set of concepts that provide more flexibility than the raw ones we saw above. We invite the interested reader to look at those ideas for further information.

3.4 Can you give an example of Component-Based Software Engineering?

3.4.1 Software Components and Java Beans

A common example of a software component is a Java Bean. JavaBeans are reusable software components for Java that follow specific coding conventions. They are used to encapsulate many objects into a single object, known as a bean. JavaBeans aims to promote the development of modular, reusable code.

Here are some key characteristics and conventions associated with JavaBeans:

  • Naming Conventions: JavaBeans follow a naming convention where the properties are private, and their accessors (getter and setter methods) are public. For example, a property named “username” would have a getter method named “getUsername” and a setter method named “setUsername.”
  • Serializable: JavaBeans are often designed to be serializable. This allows them to be easily stored, transmitted, and reconstructed.
  • Default Constructor: JavaBeans should have a public no-argument constructor, also known as the default constructor. This enables tools and frameworks to instantiate the bean without parameters.
  • Properties: Beans have properties, which are typically private fields encapsulated with public getter and setter methods. These properties represent the state of the bean.
  • Events: JavaBeans can generate events and handle event listeners. This allows other components to respond to changes in the bean’s state.
  • Introspection: JavaBeans can be analyzed at runtime using introspection, a feature that allows tools and applications to examine and manipulate the properties, events, and methods of a bean.

3.4.2 Example of a Java Bean

Let’s consider a simple example of a Java Bean representing a “Person” with name, age, and email properties. This example will illustrate how JavaBeans adhere to certain conventions for creating reusable components:

import java.io.Serializable;

public class Person implements Serializable {

  // Properties
  private String name;
  private int age;
  private String email;
  private PropertyChangeSupport mPcs = new PropertyChangeSupport(this);

  // Default Constructor (no-argument constructor)
  public Person() {}

  // Getter and Setter methods for the 'name' property
  public String getName() {
    return name;
  }

  public void setName(String name) {
    this.name = name;
  }

  // Getter and Setter methods for the 'age' property
  public int getAge() {
    return age;
  }

  public void setAge(int age) {
    int oldAge = age;
    this.age = age;
    mPcs.firePropertyChange("age", oldAge, age);
  }

  // Getter and Setter methods for the 'email' property
  public String getEmail() {
    return email;
  }

  public void setEmail(String email) {
    this.email = email;
  }

  public void addPropertyChangeListener(PropertyChangeListener listener) {
    mPcs.addPropertyChangeListener(listener);
  }

  public void removePropertyChangeListener(PropertyChangeListener listener) {
    mPcs.removePropertyChangeListener(listener);
  }
}

In this example, the following Java Bean rules are observed:

  • Public Default Constructor: The Person class has a default constructor, allowing instances to be created without providing any arguments. This is important for tools and frameworks that may need to instantiate the bean dynamically.
  • Private Attributes Accessible with Public Getters and Setters: The Person class follows the JavaBeans naming conventions by having private properties (name, age, and email) with corresponding public getter and setter methods.
  • Serializable: The class implements Serializable, indicating that instances of this class can be serialized, which is a common practice for JavaBeans.
  • Event Support: Listener interfaces allow Java Beans to communicate state changes to other components.

JavaBeans are ordinary Java classes that follow specific rules to enhance reusability, introspection, and compatibility with tools and frameworks. This makes them ideal for building modular and reusable components in various application domains.

3.5 What is a Software Component?

Components are the building blocks of modern software applications, providing the affordance of high-quality software engineering, rich functionality, and reusability necessary to build such applications.
Components are the building blocks of modern software applications, providing the affordance of high-quality software engineering, rich functionality, and reusability necessary to build such applications.

3.5.1 The Original Definition of Software Component

The quote below is from the NATO Software Engineering conference we mentioned earlier, specifically from M. D. McIlroy’s address, in which he states that the idea of modularity and subsystems in software engineering was already common and well-established. However, he believed software houses producing standard parts and catalogues of such items were missing.

— M.D. MCILROY, NATO SOFTWARE ENGINEERING CONFERENCE 1968

McIlroy’s ideas referred to software components as understood and seen fit for a software industry that just took off. Things look very different today, and a revised concept of software components is required. This is exactly what we will try to do in the next paragraphs. So, what is a software component in modern software engineering? Here are some thoughts:

From P. Kruchten’s paper on the topic: A software component is a nontrivial, loosely coupled, semi-independent, and replaceable part of a system, fulfilling a clear function in the context of a well-defined architecture.

Again, from P. Kruchten’s paper: A software component conforms to and provides the physical realization of a set of interfaces. This is not the same as a class in object-oriented programming; a software component can be a group of classes working together. This level of complexity is what makes it non-trivial.

A software component can also be a dynamic bindable package of one or more programs managed as a unit and accessed through documented interfaces that can be discovered in runtime.

3.5.2 Characteristics of Software Components

Kruchten goes to some length in defining the characteristics of his envisaged software components. They look something like this:

  • Properties of software components
  • Loose-coupling: A component can only make sense if part of a larger system. In that sense, a component, specifically a software component, cannot be totally isolated and must work in a broader context. However, software components must be identifiable and separate from other components, meaning they are semi-independent or loosely coupled to other components.
  • Replaceability: A software component must be replaceable by another component as long as the latter implements the same interface. This allows software components to evolve as they mature or support additional functionality.
  • Fulfils a clear function: A software component is not a random grouping of classes or code but a logically and functionally cohesive entity. Extending or modifying a component will then be examined under that light, whether it enhances and enriches a component’s identity or makes it less clear.

Kruchten also had to refer to abstraction levels and architectural contexts in his definition, both of which merit some exploration:

  • Abstraction level
  • Hierarchical software systems: A software system can be understood as an assemblage of subsystems composed of elementary building blocks called software components.
  • Abstraction level: The hierarchy levels and the definitions of a subsystem vs a component depend greatly on the choice of boundaries and abstraction level at which an engineer examines the system, which might be arbitrary at the designer’s discretion.
  • Architectural context
  • Definition: An architectural context consists of the rules, conventions, technologies, and design principles followed when designing a software system.
  • Impact on software components: A software component is typically built to work in a specific architectural context. This constraint (being an integrative part in a larger context) means that when you build the component, you must follow specific conventions, implement predefined interfaces, work with some technologies, and make certain assumptions regarding the design.

3.6 What is the objective of Component-Based Software Engineering?

The quote below is from the NATO conference convened in 1968 to address the software crisis of those times and belongs to M. D. McIlroy, whom we introduced earlier and where he defines the intended objective of Component-Based Software Engineering.

— M.D. MCILROY, NATO SOFTWARE ENGINEERING CONFERENCE 1968

McIlroy’s idea for CBSE was to mass-produce reusable components. However, mass production in software radically differs from manufacturing, as he attempts to explain.

In manufacturing, a model allows an assembly line to mass-produce replicas, spare parts identical in every shape or form. In software engineering, particularly CBSE, mass production refers to creating a family of routines based on an original model.

To illustrate this idea, McIlroy describes a family of routines, theoretically derived from one parent routine, which can calculate the value of a sine function, such as sin(pi/3), with varying speeds, precisions, and robustness. While these concepts were relevant in the 1960s, they have been radically updated to mean something else.

Component-Based Software Engineering (CBSE) aims to lower the implementation costs of software-intensive systems while simultaneously increasing quality and reducing implementation timelines.

CBSE encourages the design and development of reusable code, which reduces the overhead associated with the design, documentation, and development of new components, subsystems, and systems. It also assumes that with every reuse, the component’s quality is refined by discovering and eliminating bugs.

3.7 Does Component-Based Development apply to Business Architecture?

3.7.1 CBSE Extended to Platforms and Software Solutions

Component-Based System Engineering (CBSE) and Development (CBD) have allowed software businesses to build on earlier successes and maximize their investments by systematically reusing software components.

The concepts of CBSE have been extended to cover entire platforms whereby software firms acquire those platforms through mergers and acquisitions (M&A) to replace their aging ones or enhance them with new capabilities.

When organisations acquire smaller software companies, they also inherit their tech stack and all the development and operations resources looking after it. Product managers and architects then step in to identify the software platforms in the newly acquired stack that would enhance the company’s value proposition and discard the rest. Qualified platforms will then take the place of legacy ones. These activities occur as part of the integration process between the two companies.

3.7.2 CBSE and Business Architecture

Like how CBSE works (see below discussion on CBSE Process) for software components, with engineers designing reusable components and architects composing and integrating components rather than requesting new ones, business architects apply the same methods to large software platforms.

The business architecture of the old and new companies, now merged into one, has evolved to enhance its position in the market with newer and more capable technology and products.

3.8 What does a Component Lifecycle consist of?

When new business requirements come in, solution architects design a solution that fits those requirements by either updating existing components that are suitable for providing that desired functionality or developing new components from scratch.
When new business requirements come in, solution architects design a solution that fits those requirements by either updating existing components that are suitable for providing that desired functionality or developing new components from scratch.

3.8.1 Software Component Lifecycle

In the original discussions on how software components can be managed and what their lifecycles consisted of, the authors identified three stages:

  • Component Qualification
  • Component qualification typically occurs during the Analysis phase of the SDLC and once the business requirements become clear.
  • The inventory of existing components is scanned for a suitable candidate that partially or fully satisfies the business requirements, is a good fit within the architectural context, and is easily integrated into the existing solution.
  • Component Adaptation
  • Component adaptation occurs after qualification, once a candidate component has been selected for reuse and where gaps in its functionality have been identified.
  • Component adaptation looks at the component interfaces and behaviour and decides which of these must be changed to satisfy the new requirements without loss of generality, restrictions to future reuse, and adverse impacts on existing solutions where this component is used.
  • Component Development
  • Component development is a last resort and occurs when no suitable candidates have been found or where the costs of adapting an existing component are higher than developing a new one.
  • Component development follows certain generality, quality, and architecture context fitness guidelines. For example, you want your component to be reusable, perform well now and in the future, and implement interfaces that allow it to be easily integrated into existing solutions.

3.8.2 Platform Lifecycle

As mentioned earlier, the modern view of a component covers anything from runtime classes to entire platforms, depending on our chosen abstraction level. Does this change of scale have any impact on a component’s lifecycle? The answer is yes; the details will differ while the main concepts remain unaltered. Let’s see how.

Imagine you have a legacy system that uses very old technology or has become too expensive to maintain. Here also, you have three options:

  • Migrate to an existing platform:
  • Find a suitable platform in your existing stack into which the services of the legacy system can be built.
  • When the services are sufficiently ready, customer data can be migrated into the new system, typically without interruption.
  • Acquire or integrate with a third-party system offering similar capabilities:
  • Scan the market for platforms that offer similar services to your legacy system.
  • Weigh the integration and long-term running costs against alternative options.
  • Develop a new application with like-for-like capabilities:
  • If no suitable candidates can be found in the market, you might decide to develop a new platform.
  • You might initially go for a like-for-like design where the interfaces of the legacy system to all external systems remain unchanged, reducing integration costs.

3.9 How is Component-Based Development different from the SDLC?

The Software Development Lifecycle (SDLC) consists of sequential stages that start with a business requirement and end with a finished product. Within the SDLC, multiple processes can operate, and the methodology that governs these processes can be guided either by Agile or Waterfall principles.

One of those processes can be Component-Based Development (CBD), while the other is the more familiar feature development process. The component can be a JavaBean or a platform (see question 8 on Component Lifecycle).

The Component-Based Development process can be described as follows:

  • Ownership:
  • The CBD is typically owned by architects or senior engineers familiar with the product, its architecture and design, and the modular components and subsystems it comprises, which are amenable to reuse.
  • Feature Development Process flow:
  • Developers immediately implement business features that can be accommodated within the existing components through localised code changes or configuration.
  • For larger features, architects are consulted, and their primary task is to identify which components will be impacted by this change and how.
  • In moderate cases, components can be adapted to support the new functionality, while in extreme cases, components must be developed from scratch.
  • Solution Design Process Flow
  • When designing large custom solutions, architects typically look at an inventory of platforms in their stack and architect a solution that fits a client’s specific business needs.
  • The guiding principle here is to reuse as many existing platforms as possible, with as little deviation as manageable from the current operational standards.
  • The focus during solution design is on composing solutions from existing parts rather than implementing them from scratch or undertaking large modifications to integrate with external systems.

3.10 What frameworks can be used to describe Software Components in CBSE?

One of the most common models for representing architectural concepts in software engineering is the C4 model. Created by Simon Brown, the C4 model is a framework for visualizing the architecture of a software system.

The C4 model consists of four levels of abstraction that could be used to describe a software architecture. These levels are context, containers, components, and code. This model however has its drawbacks and the Multi-Layer, Multi-Perspective Paradigm (or M2LP) is a replacement candidate we propose.
The C4 model consists of four levels of abstraction that could be used to describe a software architecture. These levels are context, containers, components, and code. This model, however, has its drawbacks, and the Multi-Layer, Multi-Perspective Paradigm (or M2LP) is a replacement candidate we propose.

The “C4″ stands for Context, Containers, Components, and Code,” representing different levels of abstraction in the system.

  • Context Diagram: The highest level of abstraction, illustrating how the software system under consideration interacts with external entities, such as users, systems, or external services. It provides an overview of the system’s boundaries and the key interactions with its environment.
  • Container Diagram: Focuses on the internal structure of the software system, depicting high-level containers or applications that make up the system. Containers can be web servers, databases, desktop applications, or mobile apps. It highlights the relationships and interactions between these containers.
  • Component Diagram: Drills down into the internal components of each container, illustrating the major classes or components and their relationships. It provides a more detailed view of the software components within each container, aiding in understanding the organization and dependencies.
  • Code Diagram: At the lowest level, it delves into the code level, showcasing specific classes, interfaces, and their relationships. This diagram is optional and is used when an in-depth understanding of the code structure is necessary.

However, the C4 model has its drawbacks. While it may work perfectly fine for relatively simple systems, it can be easily overwhelmed with large and more complex ones, as we have aimed to describe in Software Application Design — Part 1: A Multi-Layer, Multi-Perspective Paradigm for Thinking about Applications.

The Multi-Layer, Multi-Perspective Paradigm or M2LP adds a layer of abstraction that differentiates between the views of development, operations, product management, architecture and any other aspect of the system’s design or functionality. This is necessary as modern applications have become so complex that it is almost impossible to represent every facet of their design in one diagram at a predefined level of abstraction.

M2LP also replaces the three tiers represented by Container, Component, and Code with a more flexible approach based on two distinct abstraction levels, Blocks and Components, where these can be freely defined by the designer depending on the story they wish to tell.

3.11 What is “Separation of Concerns” in software design?

Separation of concerns is the philosophy behind modularization in software design. Modularization of a system works by dividing it into loosely coupled and semi-independent components, each responsible for a specific area of functionality.

This architectural concept aims to enhance maintainability, scalability, and flexibility by isolating different concerns within the system.

3.11.1 History

On the Role of Scientific Thought, Edsger W. Dijkstra

The concept of separation of concerns can be traced back to the 1970s, and it gained prominence in the field of software engineering. The term was popularized by Edsger W. Dijkstra, a renowned Dutch computer scientist, in his 1974 paper “On the Role of Scientific Thought.” Dijkstra advocated for separating concerns as a means to simplify complex software systems and improve their comprehensibility.

3.11.2 Definition

Separation of concerns involves organizing code and design so that each module or component addresses a specific aspect of the overall functionality. Ideally, these concerns should not overlap.

Separation of concerns and modularisation promote a clean and modular structure where changes to one concern do not impact others, facilitating easier maintenance and modifications. Components in such a design connect through well-specified interfaces, where components can be swapped with other components as long as they implement the same interface.

Modularisation requires that interfaces be fixed, while implementations can vary. This allows designers to have one component communicating with multiple heterogeneous and distinct components without worrying too much about their specific implementation.

3.11.3 Example

A classic (and partially antiquated) example illustrating the separation of concerns is the Model-View-Controller (MVC) architectural pattern. In MVC, data management, user interface, and application logic are separated into these three distinct components.

However, even at the level of Data alone, User Interface, or Business Logic, the view has become so complex that it merits further “separation of concerns”, something that we aimed to achieve in an upcoming series of articles, the first of which is Software Application Design — Part 1: A Multi-Layer, Multi-Perspective Paradigm for Thinking about Applications.

3.12 What are the top advantages of Component-Based Software Engineering?

3.12.1 Is CBSE Relevant Today?

We don’t hear many commentators today discussing component-based software engineering (CBSE), and that is because, in my view, it has become a concept that we take for granted.

Every smartphone, tablet, or personal computer is an improvement over its predecessor. Android systems run the same Android software, Apple systems run iOS, and personal computers run MS Windows. Things were very different in the 1960s and 1970s; hardware and software were created in close collaboration, and interoperability was not a thing. Back then, CBSE represented an intellectual leap into new territories.

Is CBSE still relevant today? The answer is Yes. When building modern software applications or software systems, reminding ourselves of the advantages of CBSE is beneficial as it helps us understand the theory behind our taken-for-granted assumptions.

3.12.2 Advantages of Applying CBSE

CBSE offers several distinct advantages rooted in fundamental principles of efficiency, integration, interoperability, design maturity, rapid development, and sustained quality improvement. Let’s articulate these ideas fully:

  • Cost Efficiency: CBSE champions cost efficiency through the judicious reuse of existing technology and components with minimal overhead. This strategy capitalizes on leveraging pre-existing, well-vetted solutions, reducing development time and associated costs.
  • Assemblage vs Development: The dichotomy between assemblage and development is pivotal. Integration efforts in CBSE are notably less demanding than traditional development efforts. By relying on pre-existing, independently developed components, the focus shifts from intricate coding to effective integration, expediting the overall software development process.
  • Interoperability: The emphasis on interoperability is a hallmark of CBSE. This is manifested in the ability to replace components with similar interfaces seamlessly. Such interchangeability ensures a flexible and adaptable software architecture that can evolve with changing requirements without compromising system integrity.
  • Utilizing Mature Design and Architectural Patterns: The fourth advantage lies in utilising mature design and patterns guaranteed to fit the overarching architectural context. CBSE promotes a standardized approach, reducing the likelihood of architectural mismatches and enhancing overall system stability and coherence.
  • Delivery of Large Software Systems: CBSE facilitates the delivery of large systems within relatively short time frames and smaller budgets. This is achieved through accumulating knowledge and components developed in the past. Each iteration contributes to a growing repository of reusable components, streamlining subsequent development efforts and enhancing overall project efficiency.
  • Software and Service Quality: the quality of software systems is inherently improved in CBSE. As components are reused, they undergo iterative refinement, benefiting from lessons learned and enhancements made in previous implementations. This iterative improvement cycle results in a continuous elevation of component quality, translating into higher overall software quality.

In conclusion, Component-Based Software Engineering stands as a paradigm that offers tangible advantages across multiple dimensions of software development. Its principles, grounded in efficiency, integration, interoperability, design maturity, rapid development, and sustained quality improvement, position it as a compelling approach for contemporary software engineering endeavours.

3.13 How does Component-Based Software Engineering help us deliver faster?

"I want this project to be live in 12 months and not a second more!"
“I want this project to be live in 12 months and not a second more!”

I once attended a meeting where our salespeople discussed a solution integration project proposal with our client. The client’s senior manager was adamant about the project schedule not exceeding a calendar year. To me, this limitation sounded arbitrary and unreasonable.

This twelve-month limitation turned out to be more psychological than anything else. Still, it was deep-rooted and ancient (in relative terms), as the following quote from NATO’s 1968 software engineering conference shows.

— E.E. DAVID, NATO SOFTWARE ENGINEERING CONFERENCE 1968

So, how can we build arbitrarily large software systems in less than twelve months? It turns out that the magic recipe has two essential ingredients:

  • Component-Based Development: Componse and assemble when you can, develop when you must. This concept is ubiquitous today and can be seen in almost any software system. If you want to develop any enterprise software application today, you will likely never need to write a display driver or a keyboard interface. You can simply plug and play whichever monitor you wish to use, as the driver’s interfaces mirror those the operation system uses.
  • Starting with a Minimum Viable Product or MVP: The quote above is nothing short of visionary when it comes to organising the delivery of large software systems. Although it does not explicitly mention MVPs, the concept is quite clear: find out what can be successfully shipped into production in twelve months, complete it, and build on it later.

3.14 What role does standardisation play in the success of Component-Based Software Engineering?

The standardization of interfaces, APIs, design, and architectural patterns plays a pivotal role in the success of Component-Based Software Engineering (CBSE).

CBSE emphasizes creating and assembling software components, which are modular, reusable code units. The effectiveness of CBSE relies on several factors, and standardization is a key enabler for achieving efficiency, interoperability, and maintainability in software systems. Below are the specific contributions of standardization to the success of CBSE:

  • Interoperability:
  • Standardized interfaces and APIs facilitate interoperability between different components.
  • When components adhere to common standards, they can seamlessly work together, ensuring that components from various sources can be integrated into a cohesive system.
  • Reusability:
  • Standardized design and architectural patterns contribute to the reusability of components.
  • By adhering to established standards, developers can create components that are not only compatible with the current system but also have the potential to be reused in different projects or contexts. This leads to a more efficient development process and reduces the need to reinvent the wheel.
  • Reduced Complexity:
  • Standardization helps in managing and reducing the complexity of software systems.
  • When components follow consistent design and architectural patterns, it becomes easier to understand, maintain, and extend the software. This is particularly crucial in large-scale projects where complexity can quickly become a major challenge.
  • Maintenance and Evolution:
  • Standardized practices make it easier to maintain and evolve software systems over time.
  • When components adhere to common interfaces and patterns, updates and modifications can be made with minimal impact on the overall system. This is essential for ensuring the longevity of software applications in dynamic and evolving environments.
  • Quality Assurance:
  • Following standardized practices in CBSE contributes to higher-quality software.
  • Commonly accepted design principles and architectural patterns help ensure that components are developed with a focus on reliability, scalability, and maintainability. This, in turn, enhances the overall quality of the software system.
  • Industry Adoption and Collaboration:
  • Standardization encourages industry-wide adoption and collaboration.
  • Developers and organisations adhering to common standards foster a collaborative ecosystem where components can be shared and integrated seamlessly. This leads to the development of a broader ecosystem of compatible software components.

3.15 How does Component-Based Software Engineering help achieve Operational Excellence?

If we define Operational Excellence as “an organisation’s ability to continuously modify its course to implement its management’s vision with minimal effort and impact on the quality of its products“, how would Component-Based Software Engineering help such organisations achieve Operational Excellence?

Component-Based Software Engineering (CBSE) can significantly contribute to achieving Operational Excellence within organizations because of its inherent qualities that align with the principles of Operational Excellence.

The following points elaborate on how CBSE supports this organizational objective:

  • Modularity and Flexibility:
  • CBSE promotes the development of modular and reusable software components. The modular nature of components allows for easy modifications without affecting the entire system.
  • Organizations can adapt to changes in management vision by replacing or updating specific components, minimizing the overall impact on the system.
  • Interchangeability and Interoperability:
  • Standardized interfaces and APIs in CBSE facilitate the interchangeability of components. Organizations can modify their course by seamlessly integrating new components that align with the evolving management vision.
  • Interoperability ensures that components from different sources can work together cohesively, enabling a flexible and adaptable software architecture.
  • Rapid Development and Deployment:
  • CBSE reusable components accelerate development cycles, allowing organizations to respond quickly to changing requirements.
  • Rapid development and deployment enable organizations to modify their course efficiently, promptly implementing new features or changes to align with management’s vision.
  • Reduced Time and Effort for Changes:
  • With a component-based approach, changes can be localized to specific components, reducing the overall effort required for modifications.
  • The impact of changes is limited to the affected components, minimizing the risk of introducing errors or affecting the quality of the entire system.
  • Continuous Improvement and Evolution:
  • CBSE facilitates continuous improvement by supporting the gradual evolution of software through component updates and replacements.
  • Organizations can align their course with changing market conditions or business strategies by iteratively enhancing or modifying specific components rather than undertaking major overhauls.
  • Resource Optimization:
  • Reusability and modular design principles in CBSE contribute to resource optimization. Organizations can allocate resources efficiently by leveraging existing components, reducing redundancy, and focusing efforts on areas that directly contribute to implementing management’s vision.
  • Quality Assurance:
  • CBSE emphasizes the use of standardized design and architectural patterns, promoting the development of high-quality components. Quality assurance is embedded in the component-based development process, ensuring that modifications do not compromise the overall quality of the products.

4. References

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