University of Oulu

Oriol, M., Martínez-Fernández, S., Behutiye, W. et al. Data-driven and tool-supported elicitation of quality requirements in agile companies. Software Qual J 28, 931–963 (2020). https://doi.org/10.1007/s11219-020-09509-y

Data-driven and tool-supported elicitation of quality requirements in agile companies

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Author: Oriol, Marc1; Martínez-Fernández, Silverio1,2; Behutiye, Woubshet3;
Organizations: 1Universitat Politècnica de Catalunya, Barcelona, Spain
2Fraunhofer IESE, Kaiserslautern, Germany
3University of Oulu, Oulu, Finland
4ITTI Sp. z o.o, Poznań, Poland
5University of Science and Technology, UTP, Bydgoszcz, Poland
6Universidad Politécnica de Madrid, Madrid, Spain
7NOKIA, Oulu, Finland
8Softeam, Paris, France
9Bittium Wireless Ltd., Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2020111891001
Language: English
Published: Springer Nature, 2020
Publish Date: 2021-03-17
Description:

Abstract

Quality requirements (QRs) are a key artifact needed to ensure the quality and success of a software system. Despite their importance, QRs rarely get the same degree of attention as their functional counterpart in agile software development (ASD) projects. Moreover, crucial information that can be obtained from software development repositories (e.g., JIRA, GitHub) is not fully exploited, or is even neglected, in QR elicitation activities. In this work, we present a data-driven tooled approach for the semi-automatic generation and documentation of QRs in the context of ASD. The approach is based on the declaration of thresholds over quality-related issues, whose violation triggers user-defined alerts. These alerts are used to browse a catalog of QR patterns that are presented to the ASD team by means of a dashboard that implements several analysis techniques. Once selected, the patterns generate the QRs, which are documented and stored in the product backlog. The full approach is implemented via a configurable platform. Over the course of 1 year, four companies differing in size and profile followed this approach and deployed the platform in their premises to semi-automatically generate QRs in several projects. We used standardized measurement instruments to elicit the perception of 22 practitioners regarding their use of the tool. The quantitative and qualitative analyses yielded positive results; i.e., the practitioners’ perception with regard to the tool’s understandability, reliability, usefulness, and relevance was positive. We conclude that the results show potential for future adoption of data-driven elicitation of QRs in agile companies and encourage other practitioners to use the presented tool and adopt it in their companies.

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Series: Software quality journal
ISSN: 0963-9314
ISSN-E: 1573-1367
ISSN-L: 0963-9314
Volume: 28
Issue: 3
Pages: 931 - 963
DOI: 10.1007/s11219-020-09509-y
OADOI: https://oadoi.org/10.1007/s11219-020-09509-y
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is a result of the Q-Rapids project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 732253.
EU Grant Number: (732253) Q-RAPIDS - Quality-Aware Rapid Software Development
Copyright information: © Springer Science+Business Media, LLC, part of Springer Nature 2020. This is a post-peer-review, pre-copyedit version of an article published in Software Quality Journal. The final authenticated version is available online at: https://doi.org/10.1007/s11219-020-09509-y.