An Experience Report on Using Code Smells Detection Tools

Fontana, Francesca Arcelli; Mariani, Elia; Mornioli, Andrea; Sormani, Raul; Tonello, Alberto

doi:10.1109/icstw.2011.12

Cited by 66 publications

(56 citation statements)

References 5 publications

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“…The 8 papers are published by top level Conference and Journal that internationally accreditated. These are top level Conferences and Journals: TSE 5 , ICSE 6 and TOSEM 7 . It illustrates that code smell researchers gradually don't pursue the number of paper, instead pursue high quality paper.…”

Section: Tendency Of Code Smell Researchmentioning

confidence: 99%

“…[18] To test the detection precision of a new detection tool that they put forward. DT5 [5] How the accurate of the different detection tools is?…”

Section: ) Participants Of Experimentsmentioning

confidence: 99%

“…Meanwhile there is also a deficiency that they just carry out their experiment on open source projects : Apache Ant, Apache Tomcat and so on, they don't involve commercial closed source project. F. A. Fontana et al [5] [14], DECOR [15] and so on. Meanwhile, they carry out studies of precision and efficiency among these detection tools.…”

Section: Related Workmentioning

confidence: 99%

“…In the two decades (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015), a lot of detection tools are proposed to detect some kinds of code smell. Fontana F A et al [5] inform a lot of code smell detection tools. There are free or commercial detection tools, for example, Checkstyle 1 [14] , DECOR [15] and so on.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The detection of code smell on software development: a mapping study

Liu¹,

Cheng²

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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Abstract.Context: Although Code Smell can't cause problems with execution of project code, Code Smell can cause some potential problems of maintainability and understandability on the software projects. Meanwhile, as for the research of code smell, current research results pay attention to only several specific Code Smells, and then don't have a comprehensive detection on Code Smell. Objective: To investigate what the objective of Code Smell study is, and to find what kinds of code smells could the detection tools of code smell detect. Methods: According to the Guidelines of Kithenham, we carry out a mapping study about 22 code smells, searching the relevant papers till 2015. Results: Through the process of mapping study, 286 papers are finally included and then classified into our data records. Conclusion: Referring to detection tools, firstly they only take notice of several specific Code Smells, because these code smells can be easily measured in term of quantification. Secondly, experiment systems of these papers are almost lab projects and industrial open source not the industrial closed source projects. Thirdly, the size of most detected lab projects are under 30 KLOC. In the future, we will focus efforts on detection of Code Smells that can't be easily detected, what's more, we will put our studies under a comprehensive environment, using three types of project: lab project, open source industrial project and closed source industrial project.

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Section: Tendency Of Code Smell Researchmentioning

confidence: 99%

“…[18] To test the detection precision of a new detection tool that they put forward. DT5 [5] How the accurate of the different detection tools is?…”

Section: ) Participants Of Experimentsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The detection of code smell on software development: a mapping study

Liu¹,

Cheng²

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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show abstract

“…Several tools are available for detecting smells in source code (FONTANA et al, 2011). In our approach we have used DECOR (MOHA et al, 2010) as it is considered one of the state-of-art tools for detecting smells and can detect a large number of smell kinds (TUFANO et al, 2015).…”

Section: Bad Smellsmentioning

confidence: 99%

Key classes in object-oriented systems

Vale¹

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Software smell detection techniques: A systematic literature review

AbuHassan

Alshayeb

Ghouti

2020

J Software Evolu Process

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Software smells indicate design or code issues that might degrade the evolution and maintenance of software systems. Detecting and identifying these issues are challenging tasks. This paper explores, identifies, and analyzes the existing software smell detection techniques at design and code levels. We carried out a systematic literature review (SLR) to identify and collect 145 primary studies related to smell detection in software design and code. Based on these studies, we address several questions related to the analysis of the existing smell detection techniques in terms of abstraction level (design or code), targeted smells, used metrics, implementation, and validation. Our analysis identified several detection techniques categories. We observed that 57% of the studies did not use any performance measures, 41% of them omitted details on the targeted programing language, and the detection techniques were not validated in 14% of these studies. With respect to the abstraction level, only 18% of the studies addressed bad smell detection at the design level. This low coverage urges for more focus on bad smell detection at the design level to handle them at early stages. Finally, our SLR brings to the attention of the research community several opportunities for future research.

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An Experience Report on Using Code Smells Detection Tools

Cited by 66 publications

References 5 publications

The detection of code smell on software development: a mapping study

The detection of code smell on software development: a mapping study

Key classes in object-oriented systems

Software smell detection techniques: A systematic literature review

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