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Practical experiences and value of applying software analytics to manage quality |
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| Author: | Vollmer, Anna Maria1; Martínez-Fernández, Silverio1; Bagnato, Alessandra2; |
| Organizations: |
1Fraunhofer IESE, Kaiserslautern, Germany 2Softeam Paris, France 3Bittium Oulu, Finland
4UPC-BarcelonaTech Barcelona, Spain
5University of Oulu, Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202001152234 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2019
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| Publish Date: | 2020-01-15 |
| Description: |
AbstractBackground: 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. see all
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| Series: |
International Symposium on Empirical Software Engineering and Measurement, ESEM |
| ISSN: | 1949-3789 |
| ISSN-E: | 1938-6451 |
| ISSN-L: | 1949-3789 |
| ISBN: | 978-1-72812-968-6 |
| ISBN Print: | 978-1-7281-2969-3 |
| Pages: | 1 - 6 |
| DOI: | 10.1109/ESEM.2019.8870162 |
| OADOI: | https://oadoi.org/10.1109/ESEM.2019.8870162 |
| Host publication: |
13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2019, 19-20 Sept. 2019 Porto de Galinhas, Recife, Brazil |
| Conference: |
ACM/IEEE International Symposium on Empirical Software Engineering and Measurement |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Copyright information: |
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