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2019
Conference Paper
Titel

Practical experiences and value of applying software analytics to manage quality

Abstract
Background: Despite the growth in the use of software analytics platforms in industry, little empirical evidence is available about the challenges that practitioners face and the value that these platforms provide. Aim: The goal of this research is to explore the benefits of using a software analytics platform for practitioners managing quality. Method: In a technology transfer project, a software analytics platform was incrementally developed between academic and industrial partners to address their software quality problems. This paper focuses on exploring the value provided by this software analytics platform in two pilot projects. Results: Practitioners emphasized major benefits including the improvement of product quality and process performance and an increased awareness of product readiness. They especially perceived the semi-automated functionality of generating quality requirements by the software analytics platform as the benefit with the highest impact and most novel value for them. Conclusions: Practitioners can benefit from modern software analytics platforms, especially if they have time to adopt such a platform carefully and integrate it into their quality assurance activities.
Author(s)
Vollmer, Anna Maria
Fraunhofer-Institut für Experimentelles Software Engineering IESE
Martinez-Fernández, Silverio
Fraunhofer-Institut für Experimentelles Software Engineering IESE
Bagnato, Alessandra
Partanen, Jari
López, Lidia
Rodriguez, Pilar
Hauptwerk
ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2019
Project(s)
Q-Rapids
Funder
European Commission EC
Konferenz
International Symposium on Empirical Software Engineering and Measurement (ESEM) 2019
Thumbnail Image
DOI
10.1109/ESEM.2019.8870162
Language
English
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Fraunhofer-Institut für Experimentelles Software Engineering IESE
Tags
  • software quality

  • software engineering

  • software analytics

  • technology transfer

  • summative evaluation

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