A Probabilistic Quality Model for C# - an Industrial Case Study

Hegedűs, Péter

doi:10.14232/actacyb.21.1.2013.10

Cited by 12 publications

(4 citation statements)

References 16 publications

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“…In this research we analyzed Java source code as the applied quality model handles that programming language. However, a quality model for C# was presented by Hegedűs [12], which makes it possible to perform these studies in the future on C# projects as well.…”

Section: Software Quality and Fault Predictionmentioning

confidence: 99%

Variance of Source Code Quality Change Caused by Version Control Operations

Faragó¹

2015

Acta Cybern

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Software maintenance consumes huge efforts. Its cost strongly depends on the quality of the source code: an easy-to-maintain code needs much less effort than the maintenance of a more problematic one. Based on experiences, the maintainability of the source code tends to decrease during its lifetime. However, in most of the cases, this decrease is not a smooth linear one, but there are larger and smaller ups and downs, and the net root of these changes generally results in a negative tendency. Detecting common development patterns which similarly influence the maintainability could help to stop or even turn back source code erosion. In this research the scale of the ups and downs are investigated, namely that which version control operations cause bigger and which smaller changes in the maintainability. We calculated the maintainability and collected the cardinality of each version control operation for every revision of four inspected software systems. With the help of these data we checked which version control operation causes higher absolute code quality changes and which lower. We found clear connection between version control operations and the variance of the maintainability changes. File Additions and file Deletions caused significantly higher variance in maintainability changes compared to file Updates. Commits containing higher number of operations-regardless of the type of the operation-caused higher variance in maintainability changes than those commits containing lower number of operations. As a practical conclusion, it is recommended to pay special attention to the quality of commits containing new file additions, e.g. with the help of a mandatory code review.

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Section: Software Quality and Fault Predictionmentioning

confidence: 99%

Variance of Source Code Quality Change Caused by Version Control Operations

Faragó¹

2015

Acta Cybern

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“…In this research we analyzed Java source code, as the used quality model handles that programming language. A quality model for C# was presented by Hegedűs [6].…”

Section: Related Workmentioning

confidence: 99%

Connection Between Version Control Operations and Quality Change of the Source Code

et al. 2014

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Software erosion is a well-known phenomena, meaning that software quality is continuously decreasing due to the ever-ongoing modifications in the source code. In this research work we investigated this phenomena by studying the impact of version control commit operations (add, update, delete) on the quality of the code.We calculated the ISO/IEC 9126 quality attributes for thousands of revisions of an industrial and three open-source software systems with the help of the Columbus Quality Model. We also collected the cardinality of each version control operation type for every investigated revision. We performed Chisquared tests on contingency tables with rows of quality change and columns of version control operation commit types. We compared the results with random data as well.We identified that the relationship between the version control operations and quality change is quite strong. Great maintainability improvements are mostly caused by commits containing Add operation. Commits containing file updates only tend to have a negative impact on the quality. Deletions have a weak connection with quality, and we could not formulate a general statement.

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“…The important parts of this approach are based on our earlier probabilistic software quality model, called Columbus QM [6]. It has been developed to evaluate maintainability of Java software systems; although, because of its generality it can be adopted to other languages [11] or business processes.…”

Section: Introductionmentioning

confidence: 99%

Business Process Quality Measurement using Advances in Static Code Analysis

Ladányi¹

2015

Acta Cybern

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Business process models play an important role in the life of a company. Resemblances between software programs and business processes inspired several researchers to adapt software metrics from the field of static code analysis to help designers to build more effective and understandable processes. This paper aims to add recent advances in software quality measurement such as benchmarking and ISO/IEC 25010 standard based quality models to business process quality measurement. These techniques were proved to be very useful in software engineering both for managers and developers; moreover, they can be easily adopted to business process workflows. We focused on a specific type of flowchart called event-driven process chain (EPC), because in an EPC the activities are very often managed by software systems and our assumption is that the quality of these software systems affects the quality of the EPC itself. The presented business process quality model also uses the quality and test coverage metrics of these software systems besides business process metrics.

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A Probabilistic Quality Model for C# - an Industrial Case Study

Cited by 12 publications

References 16 publications

Variance of Source Code Quality Change Caused by Version Control Operations

Variance of Source Code Quality Change Caused by Version Control Operations

Connection Between Version Control Operations and Quality Change of the Source Code

Business Process Quality Measurement using Advances in Static Code Analysis

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