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The lack of a proper software development strategy can lead to project failure and a complete mess. According to research, as many as 37% of projects fail due to organizational management issues or a poor team. Similarly, another 32% of project failures are due to a lack of standard testing procedures.
To overcome these nightmares, companies can adopt standard software methodologies that help deliver high-quality IT projects and efficiently address challenges.
Adaptive Software Development (ASD) methodology is a proven approach to building complex applications while inherently adapting to constantly changing business requirements.
What is Adaptive Software Development?
Adaptive Software Development is a software-building methodology that prioritizes adaptability to constantly changing business requirements. This approach allows the developer team to go agile and leverage continuous learning as an integral part of the project.
So, what is adaptive development?
The adaptive development process emphasizes meeting the latest business requirements with the following as integral to the process:
- Iterative Approach: This approach breaks the entire project into various small and manageable iterations, which helps to achieve high incremental values.
- Addresses Risks: Risk management is an inherent part of the process that involves identifying risks and taking relevant steps to eliminate them.
- Continuous Testing: The code is checked continually to detect and eliminate bugs early in the project.
- Decentralized Control: This approach advocates decision-making at the team level and minimizes top-down directives, which leads to better resolutions.
- Customer Satisfaction: The end product offers a high user experience as it is built while meeting the latest project needs and expectations.
What are the Characteristics of the Adaptive Software Development Process?
Unlike traditional software development methodologies, the ASD process is more flexible towards changing project goals. The following are the key features of the process:
- High-level adaptive planning is integral to the project, and it also denounces following fixed plans.
- A significant focus is on achieving smooth collaboration within the team and promoting a culture of open communication.
- Feedback and learning from each iteration are used to enhance the process and the end product.
- Application code is broken into smaller and manageable fragments called iterations, which act as pieces of functional software.
- Code can be quickly adapted to the changing business scenarios and the evolving end-user needs. This makes it a good fit for building AI app development projects as well.
- The project is tested thoroughly to achieve optimum code quality with early detection and elimination of the bugs.
- The working team at the ground level is empowered to make key decisions that fast-track the development process and also ensure accountability.
How did the Adaptive Software Development (ASD) Model come into Existence? A Brief History
Initially, software applications were built using the waterfall method, which involved following fixed schedules and different phases, like development and testing, one after the other. This process was slow and did not account for necessary changes.
The introduction of Rapid Application Development (RAD) methodology in the 1970s – 1980s brought revolutionary changes in the IT world. Major companies started adopting it in their project as it was in favor of the adaptive approach.
The credit for the adaptive software development goes to the project managers, Jim Highsmith and Sam Bayer. The timeline below indicates how things and events followed:
The mid 1990s: The project manager duo Jim Highsmith and Sam Bayer introduced a highly flexible learning-oriented approach to software development that can also tackle and accommodate changing needs.
1998: Jim Highsmith is credited for publishing the book “Adaptive Software Development: A Collaborative Approach to Managing Complex Systems.” The book outlined the key principles and practices involved in building IT solutions with the ASD approach.
2001: Jim Highsmith, along with 17 co-authors, took the initiative of publishing the Agile manifesto.
The 2000s and Beyond: ASD started gaining pace in adoption for building complex application codes and proved worthy of handling projects of a dynamic nature.
In broader ways, the ASD methodology acts as a precursor for the agile principles. This can be better understood by analyzing the phases of the process.
What are the Different Phases of the Adaptive Software Development Process?
The process has three main phases as follows:
1. Speculation Phase
This is the first phase under which various critical aspects of the IT project are determined, like
- Initiating project planning
- Analyzing the key requirements
- Determining the end user needs and customer mission statement
- Defining the set of release cycles for the project
2. Collaboration Phase
This part of the process is fairly critical as it involves motivating the software development team towards a common goal. This involves building a collaborative environment with communication and teamwork. However, individual creativity is prioritized, and team members must be able to
- Criticize each other without bearing any sort of animosity
- Open to helping each other and avoid feelings of resentment
- Work passionately towards the common goal of building the software
- Have the specific skill set the members are expected to
- Open to sharing problems to find efficient solutions
3. Learning Phase
Software developers, QA teams, and others working on the project must clearly understand their roles and responsibilities. The learning phase helps to enrich different team members’ levels of project understanding.
Learning can be implemented in the following 3 ways:
- Analyzing technical reviews
- Studying retrospectives of the project or conducting its postmortem
- Ensuring greater user feedback via focus groups and other means
What are the Pros of Adaptive Software Development?
The key benefits of the process are:
- Meets User Requirements: It ensures active customer involvement, meaning the end product fulfills needs and expectations properly.
- CD (Continuous Delivery): The functional software is divided and delivered into various small iterations, which allows for manageable increments and further ensures continuous delivery of the application code.
- Robust Code: Bugs and code errors are identified and eliminated early in the software development life cycle model.
- Solid Team: The team works together towards achieving a common goal that fosters a supportive environment.
- High-Quality End Products: Feedback and continuous learning at the end of each iteration help realize valuable products and enhance processes.
- Decision Autonomy: Teams have the right to make vital decisions that help to ensure accountability and promote working towards the betterment of the project.
What are the Cons of Adaptive Software Development?
The major limitations or drawbacks of implementing the adaptive software development lifecycle model are:
- Frequent changes in the requirement can lead to scope creep. It can only be eliminated with proper project management.
- The end user of the application or the customers play a significant role in successful ASD, and failing customer participation can impact the final outcomes.
- Companies often build something much different than originally planned, which may lead to mixed or poor results.
- Failing to choose the right technology tools and arrangements for version control and automated testing can impact the end product.
- Too many iterations often delay the project, impacting timelines heavily.
Studying the pros and cons gives keen insights into the ASD lifecycle. However, the right choice of software development life cycle model requires a head-to-head comparison.
Comparing Adaptive Software Development with Other Methodologies
| Feature | ASD | Waterfall | Scrum |
| Planning | It implements adaptive planning. | Everything is determined and fixed at the beginning of the project. | Sprint usually involves planning for 8 hours a day and for up to a month at a time. |
| Building Approach | It is an adaptive, iterative, and flexible model. | This is a fixed and sequential model. | It is an iterative and incremental model. |
| Customer Involvement | Requires continuous involvement from the customers. | Customers or end users are involved at the beginning when the project requirements are established. | High customer involvement as continuous feedback is necessary from the customers. |
| Suitable Project Type | It is ideal for building complex and dynamic nature projects. | It works well for tackling well-defined, stable projects. | Scrum best handles projects that require continuous delivery. |
| Risk Management | Proactive and continuous adaptation towards risk elimination and handling. | Risks are identified and eliminated in the planning phase of the project. | It involves continuous risk handling. |
Wrapping Up
In conclusion, adaptive software development methodology focuses on smoothly embracing changing requirements in the running project. The major benefits revolve around flexibility, high team collaboration, greater importance to ad hoc planning, and meeting the latest business requirements.
When you outsource software development, choosing an agile framework or adaptive methodology for monitoring the project is essential. At Nethues Technologies, we follow the best SDLC model according to the specific project requirements.
As a customer-focused company, we ensure high-quality solutions built with the top-technology tools that drive business growth efficiently. Our management style ensures 100% direct client control with standard tracking tools like Zoho, Basecamp, Jira, and others.
