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Continuously Assessing and Improving Software Quality with Software Analytics Tools: A Case Study

delete2019-01-01
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OA
AI
S
Silverio Martínez‐Fernández *
A
Anna Maria Vollmer
A
Andreas Jedlitschka
X
Xavier Franch
L
Lidia López
P
Prabhat Ram
P
Pilar Rodríguez
S
Sanja Aaramaa
B
Bagnato, Alessandra
M
Michał Choraś
J
Jari Partanen
DOI:10.1109/ACCESS.2019.2917403delete
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摘要

摘要

En 中文
In the last decade, modern data analytics technologies have enabled the creation of software analytics tools offering real-time visualization of various aspects related to software development and usage. These tools seem to be particularly attractive for companies doing agile software development. However, the information provided by the available tools is neither aggregated nor connected to higher quality goals. At the same time, assessing and improving the software quality has also been the key targets for the software engineering community, yielding several proposals for standards and software quality models. Integrating such quality models into software analytics tools could close the gap by providing the connection to higher quality goals. This paper aims at understanding whether the integration of quality models into software analytics tools provides understandable, reliable, useful, and relevant information at the right level of detail about the quality of a process or product and whether practitioners intend to use it. Over the course of more than a year, four companies involved in this case study deployed such a tool to assess and improve software quality in several projects. We used standardized measurement instruments to elicit the perception of 22 practitioners regarding their use of the tool. We complemented the findings with debriefing sessions held at the companies. In addition, we discussed challenges and lessons learned with four practitioners leading the use of the tool. The quantitative and qualitative analyses provided positive results, i.e., the practitioners' perception with regard to the tool's understandability, reliability, usefulness, and relevance was positive. Individual statements support the statistical findings, and constructive feedback can be used for future improvements. We conclude that the potential for future adoption of quality models within software analytics tools definitely exists and encourage other practitioners to use the presented seven challenges and seven lessons learned and adopt them in their companies.
Keyword:
Agile software development
case study
quality model
software analytics
software analytics tool
software quality
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IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
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U
University of Oulu
学者数:
1.5W
论文数: 1.3W
被引数: 1.6W
F
fraunhofer experimental software engineering
学者数:
23
论文数: 17
被引数: 0
U
universitat politecnica de catalunya
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1.9W
论文数: 1.6W
被引数: 17
B
bydgoszcz university of science & technology
学者数:
1.1K
论文数: 1.2K
被引数: 1
F
fraunhofer gesellschaft
学者数:
1.6W
论文数: 1.2W
被引数: 24
F
fraunhofer germany
学者数:
5.3K
论文数: 4.1K
被引数: 3
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