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Practical experiences and value of applying software analytics to manage quality
- Source :
- ESEM, 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Recercat. Dipósit de la Recerca de Catalunya, instname
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
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.<br />Comment: This is an Author's Accepted Manuscript of a paper consisting of a post-peer-review, pre-copyedit version of a paper accepted at the 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2019. The final authenticated version is available online: https://ieeexplore.ieee.org/document/8870162
- Subjects :
- FOS: Computer and information sciences
Analytics
Process management
Process (engineering)
Computer science
media_common.quotation_subject
Informàtica::Enginyeria del software [Àrees temàtiques de la UPC]
summative evaluation
Computer software -- Quality control
Programari -- Control de qualitat
02 engineering and technology
Computer Science - Software Engineering
Software analytics
Software
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
software analytics
Quality (business)
media_common
technology transfer
Product design
business.industry
020207 software engineering
software quality
Software quality
Software Engineering (cs.SE)
Enginyeria del programari
business
Quality assurance
software engineering
Subjects
Details
- ISBN :
- 978-1-72812-968-6
- ISBNs :
- 9781728129686
- Database :
- OpenAIRE
- Journal :
- 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
- Accession number :
- edsair.doi.dedup.....174bf20e466c602b06b7725ec4f84600
- Full Text :
- https://doi.org/10.1109/esem.2019.8870162