How to Simplify Software Development Complexity

For modernization, the software development lifecycle is very complex, global and overdue. As software shifted from being a business enabler to a competitive business differentiator, there is a rise in emphasizing the software quality for protecting the brand which did not evolve. Consequently, the software delivered to the organization is too frequently short on a quality basis, innovation and meeting business expectations.This helps to translate putting quality and its associated activities at the middle of the software lifecycle. In software development, each of the team members are responsible for the quality work and by making every team member responsible for the quality software, all team members must be able to prove his or her work on the software moving towards the finished product in the right direction. This means that the testing is critical, ongoing, measured and managed. All team members must be accountable for the quality work throughout the software lifecycle.

software development complexities

Without the development platform, executives and the managers manually seek out the information and the potential risks about the application under development and test which makes it subjective assessment about the status of an application with the organization. Manual practices are quite impossible to maintain and extract the right information from a variety of places is time-consuming, chaotic and unreliable.By far, the great gain we have made in software development in the last two decades is open source software (OSS). But decreasing the amount of cost it takes for building software involves many other avenues which do not require making languages more expressive. Therefore, some of the tools are a great platform on which we can build our software systems, but at the end of the day, you are still left to build all the business logic and interfaces in our increasingly complex and demanding system.

Ways we can simplify the Complexity of Software Development

As a professional, we think that we require more and more focus on ways to simplify software development complexities. Some of these techniques involve embedding journey maps which can carry users through the process from start to end. Other approach may involve providing high level summarizes which distill and crystallize the key factors from large swaths of information, condensing it into an easy and quick reference guides.An approach to simplify the complexity might include tagging the content with right meta data tags which can be surfaced when the user requires them. Or consuming the complete information space just to see how we are adding integrates and harmonizes with the whole. It may also involve seeing beyond our product for considering the larger journey on which is user’s there- even before they arrived at the products. It can be done by shaping our documentation around schemes that the user already uses for categorizing each information into segments.

software development complexities

                                                                Complexities in Software Development

The tasks to simplify the software development services complexity is even more daunting tasks in the landscape of developer and API documentation. The developers have deeper and more comprehensive technical skills and also understanding than most technical writers. Of course, simplifying complexity involves understanding enough about the domain and the customer's journey to speak at their level and in their terminology but it is more than that.Simplifying complexity involves incorporating the host of techniques which go beyond mere transmission of knowledge in a particular domain. As we simplify the complexity in deeper ways, we can then move beyond merely being perceived as editors, writers or publishers. We become the knowledge creators then and usability experts in information space. It also implements the interactive JavaScript to hide the complexity for the majority of users who do not require the information.

Common Lifecycle Issues of Software Development Complexity

Though the use of development testing and development testing platform, is more known about the software which are running the organizations and representing your brand. There are some common lifecycle issues of software development complexity given below:

  • Lack of Development Metrics

Of the core continues in the software lifecycle, only QA and the operations rely on and are held accountable to metrics. QA leverages the various numbers of metrics which also include defect metrics and test coverage metrics. Development testing metrics empowers the development with automated test and analysis the hidden defects to provide objective risk assessment to the organization regarding the quality of the source code.

  • Integration

Integration for the software from a complex and frequently changing global software supply chain is one of the best and core problem that software lifecycle team grapple on daily basis. It is needed across all types of applications, platforms, operating system, and devices. Customers expect these integrated applications to work as expected and thus pose a tremendous challenge for software team of all types.

  • Reduction of production defects

Defects leaking into production are a prominent issue faced by all the software development teams. Defect leakage occurs due to a lag between the introduction of a defect and the identification of the defect. Insufficient testing, inadequate code coverage or a lack of emphasis on defect prevention may lead to cause late defect detection.

software development complexities

                                                 Lifecycle Issues in Software Development Complexities

  • Security

The application security is the most significant overlooked non-functional requirements. Security is always perceived to be somebody else problem and unfortunately a part of every piece of source code. The vulnerabilities are not intentional, but if it is exploited then it can be catastrophic. The major key point for security is prevention. It can be prevented by vulnerabilities from being introduced into the source code.

  • Automation

The demand placed on the software which runs on the business means that automation must be employed when and where it is feasible for meeting time to time market and quality pressure. Increase in automation helps to minimize human errors and enables the software teams to focus on more strategic part aspects of the software lifecycles. It also helps in lack of effective automation and struggles with functional requirements.

  • Test Management

Maintaining and managing the sizable test suite is quite complex for any organization. It is often unclear which test required being run, what the status of each test is, and who the owner of the test results. It is a challenging component of the software lifecycle and there are many businesses that spend an inordinate amount of precious time and resources for grappling with understanding test suites.


Over the past few decades, our IT industry has been very successful in reducing the amount of custom code which it takes to write most software. Without individuals and organizations pouring money into the software services, that they give freely to the community, much of what we build today cannot be possible without an order of magnitude more cost and effort.

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