Abstract

The main objective of this study is to scheduling the prioritized requirements that make the software release in a better way. Software release is a single or a group of change in an already evolved software product that can result in another new product. Therefore, a good planning is essential and a bad plan can always lead to irrelevant features (requirements) being included in the release which in turn can affect the release time of the software. In order to overcome this delay, two things have to be considered such as requirements prioritization and scheduling. Prioritization of requirements means that the significant requirements are released in priority. Second is to schedule these prioritized requirements so as to release the new version on time. If we just do requirement prioritization without making an appropriate time plan, there is a high chance that the project may exceed the release schedule and this probability will grow as the number of dependencies increases. So we have to perform requirement prioritization and scheduling as one model that can minimize the project duration. So the paper consolidates both the processes of software release, prioritization and scheduling, called as Hybrid EGRILP model in order to maximize the revenue and to minimize the project duration. The requirements prioritization is performed using the Enriched Genetic process where the premature convergence problem is overcome and the Revamped Integer Linear Programming (RILP) is introduced with the enriched genetic process. This combination of methods maximizes the profit of the software and minimizes the release time of the software.

Keywords:

Modified genetic algorithm, modified heuristic Integer Linear Programming (ILP) model, premature convergence problem, requirements prioritization, requirements scheduling , software release planning,

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Competing interests

The authors have no competing interests.

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