Manage Software Requirements Specification Using Web Analytics Data

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Garcia, JE (Author) Other; Paiva, ACR (Author) FEUP

Conference proceedings International

Title: Advances in Intelligent Systems and Computing

Pages: 257-266

Indexing

Scopus - 4 Citations

Other information

Authenticus ID: P-00N-W0Q

DOI: 10.1007/978-3-319-77712-2_25

Abstract (EN): In the context of SaaS (Software as a Service) where software has to be up and running 7 days a week and 24 h a day, keeping the requirements specification up to date can be difficult. Managing requirements in this context have additional challenges that need to be taken into account, for instance, re-prioritize requirements continuously and identify/update new dependencies among them. We claim that extracting and analyzing the usage of the SaaS can help to maintain requirements updated and contribute to improve the overall quality of the services provided. This paper presents REQAnalytics, a recommendation system that collects the information about the usage of a SaaS, analyses it and generates recommendations more readable than reports generated by web analytic tools. The overall approach has been applied on several case studies with promising results. © Springer International Publishing AG, part of Springer Nature 2018.

Language: English

Type (Professor's evaluation): Scientific