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Do Internal Software Quality Tools Measure Validated Metrics?
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- Nilson, Mayra (author)
- Volvo
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- Antinyan, Vard, 1984 (author)
- Volvo
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- Gren, Lucas, 1984 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
- (creator_code:org_t)
- 2019-11-18
- 2019
- English.
- In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 11915 LNCS, s. 637-648
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Internal software quality determines the maintainability of the software product and influences the quality in use. There is a plethora of metrics which purport to measure the internal quality of software, and these metrics are offered by static software analysis tools. To date, a number of reports have assessed the validity of these metrics. No data are available, however, on whether metrics offered by the tools are somehow validated in scientific studies. The current study covers this gap by providing data on which tools and how many validated metrics are provided. The results show that a range of metrics that the tools provided do not seem to be validated in the literature and that only a small percentage of metrics are validated in the provided tools.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Metrics
- Static analysis tools
- Attributes
- Software metrics tools
- Software metrics tools Static analysis tools Metrics Attributes
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- kon (subject category)
- ref (subject category)
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