A Suite of Object Oriented Cognitive Complexity Metrics

Misra, Sanjay; Adewumi, Adewole; Sanz, Luís Fernández; Damaševičius, Robertas

doi:10.1109/access.2018.2791344

Cited by 50 publications

(39 citation statements)

References 33 publications

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“…It, however, excludes some essential details of cognitive complexity such as information that is contained in operators and operands hence cannot be used to measure the cognitive complexity aspect of UML statechart diagrams. Also, it does not consider some unique features of the object-oriented paradigm such as inheritance [23].…”

Section: (I) Cognitive Functional Size (Cfs)mentioning

confidence: 99%

“…Statechart diagrams have inherent complexity that keeps growing with age which may affect their cognitive effectiveness. Researchers agree that high cognitive complexity indicates poor design, which sometimes can be unmanageable thus leading to low-quality diagrams [2,23]. Researchers have proposed numerous metrics that have been used to measure and therefore control the complexity of these diagrams.…”

Section: Introductionmentioning

confidence: 99%

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A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

King’ori¹,

Muketha²,

Micheni³

2019

IJSEA

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Statechart diagrams have inherent complexity which keeps increasing every time the diagrams are modified. This complexity poses problems in comprehending statechart diagrams. The study of cognitive complexity has over the years provided valuable information for the design of improved software systems. Researchers have proposed numerous metrics that have been used to measure and therefore control the complexity of software. However, there is inadequate literature related to cognitive complexity metrics that can apply to measure statechart diagrams. In this study, a literature survey of statechart diagrams is conducted to investigate if there are any gaps in the literature. Initially, a description of UML and statechart diagrams is presented, followed by the complexities associated with statechart diagrams and finally an analysis of existing cognitive complexity metrics and metrics related to statechart diagrams. Findings indicate that metrics that employ cognitive weights to measure statechart diagrams are lacking.

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Section: (I) Cognitive Functional Size (Cfs)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

King’ori¹,

Muketha²,

Micheni³

2019

IJSEA

View full text Add to dashboard Cite

show abstract

“…Three popular theoretical validation frameworks that are cited in software metrics literature includes Weyuker's properties [21], Briand's framework [22] and Kaner framework [23]. These three frameworks have been used extensively by other metrics researchers to validate their metrics [4,6,8,9,24]. A summarized description of the three frameworks is given in the subsequent sections in CSS context.…”

Section: Theoretical Validationmentioning

confidence: 99%

“…For example, the McCabe cyclomatic complexity metric [6] based on the control flow representation of the program has been used in both procedural and object-oriented system measurement. Chidamber and Kemerer [7] proposed a metrics suite for measuring object-oriented systems while Misra et al [8] defined a cognitive complexity metrics suite for object-oriented systems. In the Web-based domain Pichler et al [9], proposed complexity metrics for XML schema while Baski and Misra [10] have proposed complexity metrics for eXtensible Mark-up Language (XML) Web services.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Cascading Style Sheets Complexity Metrics

Ndia¹,

Muketha²,

Omieno³

2019

IJSEA

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Cascading style sheets (CSS) is a Web-based style sheet language that is used for the presentation of Web documents. CSS has advanced from CSS1 to CSS3.and extensions to CSS known as CSS pre-processors have also emerged in the last few years. As is the case with regular software, CSS have inherent complexity that keeps on increasing with age which is undesirable, and metrics are needed to measure with the aim of controlling it. Although several Web metrics have been proposed in the literature, the area of stylesheets is still lagging. Findings show that few CSS-related metrics exist, and there is no evidence of proof for their mathematical soundness through the popularly known frameworks such as Briand framework and Weyuker's properties. In addition, they have not been empirically validated. In order to address this gap, future studies should focus on defining and validating new metrics for CSS and its pre-processors.

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“…For this reason, Bansiya model with stranded OOP metrics was used at the software packages analysis stage in the proposed model. Standard OOP metrics used in the proposed model can be viewed in [6,10,14,16,[21][22][23][24][25][26][27]29]. Furthermore, the metrics threshold values that used for the recommendations and alerts are selected of this proposed model due to their usage in the following references and full described in [9,16,23,[27][28][29], which are the reason of the selection.…”

Section: Imentioning

confidence: 99%

Three Levels Quality Analysis Tool for Object Oriented Programming

Saeed¹,

Alasaady²,

Malallah³

et al. 2018

ijacsa

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In terms of evolution of software engineering methods for complex software developments techniques, new concepts have been emerged in the software languages, which used to develop software quality models. In this research, the Multi Levels Quality Analysis Tool (MLQA) is proposed as a tool for computer-aid software engineering, which classifies software complexity into three levels of analysis, namely the program package analysis, class analysis (program class) and finally the analysis at the level of the program method. MLQA is able to support a method of visual analysis of the software contents with color alerts, and recommendations systems, which can give a quick view of the software development and its complexity. The methodology of this work is a new suggested software quality model based on the standards object-oriented programming complexity metrics as well as threshold limits. In addition, a new quality attribute namely clean code attribute has been proposed and integrating it with the proposed software quality model in a way that enables the user of the model relies on this attribute and reduces the dependence on the software experience, which is expensive and rare at times.

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A Suite of Object Oriented Cognitive Complexity Metrics

Cited by 50 publications

References 33 publications

A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

A Literature Survey of Cognitive Complexity Metrics for Statechart Diagrams

A Survey of Cascading Style Sheets Complexity Metrics

Three Levels Quality Analysis Tool for Object Oriented Programming

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