Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV)

Agnihotri, Mansi; Chug, Anuradha

doi:10.1145/3474124.3474193

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…These metrics are well‐known, widely‐used and provide an in‐depth insight into the major properties of the system 50–56 . Also, over the years, various researchers working in the field of software quality and maintenance have used and validated the selected metrics in their studies 11,20,57–64 . Few of the selected metrics such as coupling between objects (CBO), depth on inheritance tree (DIT), lack of cohesion of methods (LCOM), and weighted methods per class (WMC), belong to the famous CK metric suite 65 .…”

Section: Methodsmentioning

confidence: 99%

“…Usually, bad smells do not affect the system's execution but may increase the software complexity 4 . In the current study, 10 bad smells were identified using two tools, namely, “JDeodrant” 46 and “Designite.” 47 The selected bad smells are some of the most prominent bad smells that have been explored in the literature 63,68–70 to examine their impact on the software quality. According to a survey conducted by Agnihotri and Chug, 48 few of the chosen bad namely, Long Method and Feature Envy smells are most identified and studied smells.…”

Section: Methodsmentioning

confidence: 99%

“…[50][51][52][53][54][55][56] Also, over the years, various researchers working in the field of software quality and maintenance have used and validated the selected metrics in their studies. 11,20,[57][58][59][60][61][62][63][64] Few of the selected metrics such as coupling between objects (CBO), depth on inheritance tree (DIT), lack of cohesion of methods (LCOM), and weighted methods per class (WMC), belong to the famous CK metric suite. 65 Moreover, the selected metrics cover various aspects of the object-oriented properties of software, such as cohesion, inheritance, size, coupling, and complexity.…”

Section: Inheritance Decreasesmentioning

confidence: 99%

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Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality

Agnihotri

Chug

2023

J Software Evolu Process

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Bad smells are certain flaws in the structure of the code that might not disturb the normal functioning of a program but negatively affects the software quality. Developers use refactoring as a corrective measure for the treatment of bad smells. The current study aids the developers in the application of refactoring by identifying the critical classes, that is, classes that are challenging to maintain and are of degraded quality. In this study, 10 quality metrics and 10 bad smells have been selected to conduct an investigation on different releases of five open‐source systems. A new metric, severity factor (SF) has been introduced that categorizes the classes of the selected systems into four criticality levels—severe, major, mid, and low. Also, the relationship between SF, criticality levels, and the refactoring operations has been analyzed. The findings show that 60% of the total classes have been affected by bad smells, and long statement is the most dominant smell present in 27.6% of the classes. The results show 84% of the refactoring operations have been performed on highly critical classes. Thus, the SF metric plays a crucial role in driving the developer's attention to the critical classes that need to be treated urgently.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Inheritance Decreasesmentioning

confidence: 99%

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Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality

Agnihotri

Chug

2023

J Software Evolu Process

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“…Quality improvement is part of the software lifecycle and can be guided by metrics and thresholds that trigger the improvement process [ 37 ]. Evaluating the information visualisations currently available in the catalogue can show how best to introduce improvements.…”

Section: Methodsmentioning

confidence: 99%

Semantic Data Visualisation for Biomedical Database Catalogues

et al. 2022

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Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for medical research. A strategy for publishing information without disclosing patient-level data is through database fingerprinting and aggregate characterisations. However, this information is still presented in a format that makes it challenging to search, analyse, and decide on the best databases for a domain of study. Several strategies allow one to visualise and compare the characteristics of multiple biomedical databases. Our study focused on a European platform for sharing and disseminating biomedical data. We use semantic data visualisation techniques to assist in comparing descriptive metadata from several databases. The great advantage lies in streamlining the database selection process, ensuring that sensitive details are not shared. To address this goal, we have considered two levels of data visualisation, one characterising a single database and the other involving multiple databases in network-level visualisations. This study revealed the impact of the proposed visualisations and some open challenges in representing semantically annotated biomedical datasets. Identifying future directions in this scope was one of the outcomes of this work.

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Understanding the effect of batch refactoring on software quality

Agnihotri,

Chug

2024

Int J Syst Assur Eng Manag

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Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV)

Cited by 3 publications

References 12 publications

Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality

Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality

Semantic Data Visualisation for Biomedical Database Catalogues

Understanding the effect of batch refactoring on software quality

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