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Probabilistic Quali...
Probabilistic Quality Models to Improve Communication and Actionability
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- Ericsson, Morgan (författare)
- Linnéuniversitetet,Institutionen för datavetenskap (DV)
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- Löwe, Welf (författare)
- Linnéuniversitetet,Institutionen för datavetenskap (DV)
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- Wingkvist, Anna (författare)
- Linnéuniversitetet,Institutionen för datavetenskap (DV)
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(creator_code:org_t)
- IEEE : IEEE Press, 2015
- 2015
- Engelska.
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Ingår i: 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). - IEEE : IEEE Press. - 9781467397759 ; , s. 1-4
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We need to aggregate metric values to make quality assessment actionable. However, due to properties of metric values, i.e., unknown distributions and different measurement scales, they are difficult to aggregate. We present and evaluate a method to aggregate metric values based on observed numerical distributions that are converted into cumulative density functions. We use these to determine the probability of each metric and file, and aggregate these. Our limited study suggests that the method improves correctness, communication, and the ability to take action. However, more evaluation is required.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- Measurement
- Aggregates
- Computational modeling
- Probability density function
- Couplings
- Complexity theory
- Software quality
- Software Technology
- Programvaruteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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