Developing a Nested Class Complexity Metric for Nested Classes

Chhillar, Rajender Singh; Kajla, Parveen; Chhillar, Usha

doi:10.12720/ijoee.1.4.244-248

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Software complexity is described by [6] to be the challenges and difficulties in software reuse, software comprehension, and software maintenance. Software Complexity metrics have been defined by [6], [7], [8], [9], [10], [11], and [12]. [13] concluded that increasing complexity drives up adaptive maintenance costs.…”

Section: Introductionmentioning

confidence: 99%

A Metrics -Based Model for Estimating the Maintenance Effort of Python Software

Mukunga¹,

Ndia²,

Wambugu³

2023

IJSEA

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Software project management includes a substantial area for estimating software maintenance effort. Estimation of software maintenance effort improves the overall performance and efficiency of software. The Constructive Cost Model (COCOMO) and other effort estimation models are mentioned in literature but are inappropriate for Python programming language. This research aimed to modify the Constructive Cost Model (COCOMO II) by considering a range of Python maintenance effort influencing factors to get estimations and incorporated size and complexity metrics to estimate maintenance effort. A within-subjects experimental design was adopted and an experiment questionnaire was administered to forty subjects aiming to rate the maintainability of twenty Python programs. Data collected from the experiment questionnaire was analyzed using descriptive statistics. Metric values were collected using a developed metric tool. The subject ratings on software maintainability were correlated with the developed model’s maintenance effort, a strong correlation of 0.610 was reported meaning that the model is valid.

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Section: Introductionmentioning

confidence: 99%

A Metrics -Based Model for Estimating the Maintenance Effort of Python Software

Mukunga¹,

Ndia²,

Wambugu³

2023

IJSEA

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An Access Control Metric Suite for Class Hierarchy of Object-Oriented Software Systems

Chhillar¹,

Kajla²,

Chhillar³

et al. 2015

IJCCE

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Abstract-During last two decades, object-oriented paradigm has arisen as a prevailing software engineering practice for solving software problems. A large number of object-oriented metrics are proposed during that period to measure the properties like abstraction, encapsulation, inheritance, polymorphism, coupling, cohesion, information hiding and reusability. Most of the researchers mainly depict attributes like class, object, and method to measure the properties in their research. In this paper metrics are defined to depict Member Access Control mechanism and then employed in the class hierarchy. By successfully implemented the proposed metrics in object-oriented programing, we quantify the derived classes which directly results to reduce code, time and complexity of the object-oriented software systems. The proposed metrics provides a new way to understand and imply these concepts in research and development of the software using object-oriented approach.

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Developing a Nested Class Complexity Metric for Nested Classes

Cited by 2 publications

References 12 publications

A Metrics -Based Model for Estimating the Maintenance Effort of Python Software

A Metrics -Based Model for Estimating the Maintenance Effort of Python Software

An Access Control Metric Suite for Class Hierarchy of Object-Oriented Software Systems

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