A software service supporting software quality forecasting
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
European Commission's projectQ-RAPIDS - Quality-Aware Rapid Software Development (EC-H2020-732253)
Software repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects. The exploitation of such data with techniques like forecasting is becoming an increasing need in several domains to support decision-making processes. However, although there exist several statistical tools and languages supporting forecasting, there is a lack of friendly approaches that enable practitioners to exploit the advantages of creating and using such models in their dashboard tools. Therefore, we have developed a modular and flexible forecasting service allowing the interconnection with different kinds of databases/data repositories for creating and exploiting forecasting models based on methods like ARIMA or ETS. The service is open source software, has been developed in Java and R and exposes its functionalities through a REST API. Architecture details are provided, along with functionalities’ description and an example of its use for software quality forecasting.
CitationManzano, M. [et al.]. A software service supporting software quality forecasting. A: IEEE International Workshop on Data-driven System Quality Assurance. "Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019: Sofia, Bulgaria, 22-26 July 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 130-132.
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