Validation of agile methodology as ideal software development process using Fuzzy-TOPSIS method

Agile methodologies have been an emerging choice of software professionals for the past decade and a half. However, apart from this, some other SDLC models are also available for selection in front of software developers to develop any software. Usually, project managers select any of these models to develop software through their past experiences. There is no logical basis for this selection to be completely correct, as a result of which there is always a risk of software failure or over budget if an inappropriate model has opted. Keeping this problem of software industries in mind, an ideal SDLC model has been identified mathematically in this article. In this article, we applied the Fuzzy TOPSIS method that validates Agile software development as an ideal choice. We have taken a total of six software development processes that are being applied globally. Feedback from five experienced decision-makers has been taken in the form of linguistic terms and further converted into fuzzy values to perform the computation of the closeness coefficient rank of each experimented alternative software development process.