Use of genetic algorithm for software maintainability metrics' conditioning

Singh, Surender; Chhabra, Jitender Kumar; Kumar, Surendra

doi:10.1109/adcom.2007.69

Cited by 11 publications

(5 citation statements)

References 22 publications

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“…However, unhappiness with internal quality standards may not necessarily outcome in low rank of maintainability although it is generally expected. In that case, it is likeable that, regardless of what internal Estimations designate, the concluding judge for the maintainability of the delivered software is the programmer [19,21,22].…”

Section: IVmentioning

confidence: 99%

Maintainability Estimation of Object Oriented Software: Design Phase Perspective

Soni¹,

Khaliq²

2015

International Journal of Advanced Research in Computer and Comm

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Maintainability is an essential software quality factor that is useless if it is not available at an initial stage in the software development life cycle. It becomes more important in the case of object oriented design. Estimating maintainability of object oriented design near the beginning in the development cycle, mainly at design phase; significantly reduce the development cost and rework, and as well as assists the software designers and developers for delivering high quality maintainable software within time and budget. This paper illustrates the need and significance of maintainability at design phase and build up a multivariate linear Maintainability Estimation Model for Object-Oriented Design. Developed model estimates the maintainability of class diagrams in respect of their Extendibility, Reusability. Lastly the developed models have been validated using experimental tryout.

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Section: IVmentioning

confidence: 99%

Maintainability Estimation of Object Oriented Software: Design Phase Perspective

Soni¹,

Khaliq²

2015

International Journal of Advanced Research in Computer and Comm

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“…This means that the software needs to be adaptable and easy to maintain. Literatures show that software maintenance takes around 70 percent of the total resource and 40-60 percent of the total life cycle efforts [1] [8]. Software maintainability can be defined as: "The ease with which a software system or component can be modified to correct faults, improve performance or other attributes, or adapt to a changed environment" [9].…”

Section: Software Maintainabilitymentioning

confidence: 99%

“…However, it is important to be reminded that high maintainable software will demand less rework and maintenance activities and, therefore, decreasing overall cost of the product at the end of the life cycle [1].…”

Section: Software Maintainabilitymentioning

confidence: 99%

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Maintainability Dynamic Metrics Data Collection Based On Aspect-Oriented Technology

Tahir

Ahmad

Kasirun

2010

MJCS

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The increase dependence on software aspects has led the society to emphasize the importance of software quality and metrics. At present there are two categories of quality metrics; dynamic and static. Although dynamic metrics can provide a clearer insight into the software quality issue; it is observed that static metrics are often used for such a purpose. This is due mainly to the technical difficulties associated with the collection of dynamic metrics. One of the known issues when dealing with dynamic metrics is the need for instrument code by inserting points for data collection. This is a very tedious and counterproductive task. Aspect-Oriented Programming (AOP) is a promising technology that is currently used to add cross-cutting concerns to the software applications.AOP can be easily used to transparently instrument the code at compile-time. This work proposes AOP as a technique that can be used for collecting software maintainability dynamic metrics data. Therefore, an AOP-based framework for collecting dynamic coupling metric has been designed, implemented; and evaluated. Evaluation results showed that the framework is a reasonable approach for collecting a maintainability dynamic metrics. This approach allowed for the total separation of the metric's code (the metric aspect) from the application's source code. Thus, the AOP-based framework provides an effective way for the transparent collection of a maintainability dynamic metrics data. The designed framework can be extended to fit other kinds of quality dynamic metrics.

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“…Several models have been proposed for finding maintainability of software in different perspec-tive [9,10,23]. Earlier researchers used to consider only source code and its allied comments for program comprehension [11], but later with increased complexity of software, understanding other software artifacts such as design documents were also assumed compulsory [3,20,22]. As there are several diverse attributes collected from different artifacts of software, which are distinct in measurement and performance scale, efforts are made to integrate these, in order to get a single crisp value of maintainability.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Stable Maintainability Metric for Software Projects

Singh¹

2021

TURCOMAT

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To make software better in view of its maintainability, its software development process must be controlled and continuously observed. Researchers and software managers have stressed on the early measurement of maintainability starting from design phase itself so that timely steps could be taken for producing maintainable software. This paper evaluates and compares several methodologies for improving the numerical stability of a fuzzy-logic-based maintainability metrics system. Fuzzy parameters are adjusted using heuristic methods. A number of alternates were considered, in which training data sets were generated using different methods and these sets were used to evaluate objective functions in GA and accordingly fuzzy parameters were tuned. After conditioning, real projects’ maintainability data is used to show that fuzzy model performance is increased, however marginally, after conditioning

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Use of genetic algorithm for software maintainability metrics' conditioning

Cited by 11 publications

References 22 publications

Maintainability Estimation of Object Oriented Software: Design Phase Perspective

Maintainability Estimation of Object Oriented Software: Design Phase Perspective

Maintainability Dynamic Metrics Data Collection Based On Aspect-Oriented Technology

Fuzzy Based Stable Maintainability Metric for Software Projects

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