Abstract
The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.
Highlights
In recent years, the continuous and growing use of new technologies results in a Digital Transformation, bringing disruptive changes across domains (Nadkarni & Prügl, 2021)
This study aimed to confirm the hypothesis of using the analysis of context histories of projects to recommend requirements for new or ongoing projects
The study employed a database with the context histories of 153 software development projects
Summary
The continuous and growing use of new technologies results in a Digital Transformation, bringing disruptive changes across domains (Nadkarni & Prügl, 2021). The techniques considered crucial to eliciting requirements do not hold up, given the paradigm shifts that have occurred. Villela, Groen & Doerr (2019) argued that Requirements Engineering (RE) involves various dimensions and ubiquitous RE allows an adequate approach for handling the complexity involved. The software has become present in the vast majority of businesses, with companies that lack some level of automation being rare. Enterprises need to deal with increasingly diverse, complex, and interconnected systems, while the demand for rapid innovations requires ever-shorter feedback loops.
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