Evaluation of object-oriented spatial complexity measures

Chhabra, Jitender Kumar; Gupta, Varun

doi:10.1145/1527202.1527208

Cited by 15 publications

(5 citation statements)

References 21 publications

(34 reference statements)

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“…Program complexity is a fundamental feature of program, but there is no accepted precise definition. Most researchers believe that program complexity is the difficulty of analyzing, designing, testing, maintaining and modifying software, and the difficulty will increase day by day; and some researchers believe that program complexity is mainly structural complexity and algorithmic complexity, which gradually occur in the software life process, especially in the design and coding phase [9]. Therefore, in order to study the program complexity, the analysis of the process of program structural complexity is the first step, and on this basis, it determines what kind of measurement method is used to quantify the complexity: 𝑀: 𝐶, 𝑅 → 𝑁, 𝑃 .…”

Section: Program Complexity Researchmentioning

confidence: 99%

Research and design of program complexity measurement technology based on OINK framework

Qiao¹,

Zou²,

Duan³

et al. 2023

Math. models, eng.

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With the expansion of software system scale, the study of software complexity has become a hot topic in software engineering. However, the domestic research on software complexity analysis technology is not mature, especially the measurement and evaluation methods of software complexity are not perfect. In order to solve the problem of prediction and evaluation of program structure complexity in software engineering more effectively, this paper proposed a program complexity measurement technique based on OINK framework. The technology uses the data sharing interface design to analysis target program by extracting the complex relationship between OINK components. On this basis, the technology adopts the layered software architecture to realize the automatic design of the function of the measurement data acquisition module, the complexity measurement module and the data management module of measurement results, thus, the structure complexity of the target program can be analyzed more clearly and accurately. At the same time, this technique applies multiple measurement methods to quantify the complexity of program structure, such as McCabe, HalStead, and Line Count. Experimental results show that this method can effectively measure the complexity of program structure. The solution on software complexity based on the open source ONIK framework will be open up worldwide, and will be continuously supported and improved by global communities and teams under the constraints of common driving forces.

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Section: Program Complexity Researchmentioning

confidence: 99%

Research and design of program complexity measurement technology based on OINK framework

Qiao¹,

Zou²,

Duan³

et al. 2023

Math. models, eng.

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“…This measures account for the difficulty of reading the source code of a program for understanding, in terms of the lexical distance (measured in lines of code) that the maintainer is required to traverse to follow control and/or data dependencies as they build a mental model (Gold, Mohan, and Layzell 2005;Chhabra and Gupta 2009). This type of complexity was based on the spatial distance between the definition and direct use of various program elements.…”

Section: Slicespatialmentioning

confidence: 99%

Slice-Based Cognitive Complexity Metrics for Defect Prediction

Alqadi

Maletic

2020

2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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I express my deepest gratefulness toward my wonderful parents, Suliman and Madawi, who did more than their best to raise, educate and support me. Thank you for keeping me in your thoughts and prayers. None of this would ever have been possible without the enormous support, and patience from the closest soul, my beloved husband, Khaled. Thanks to the sweetest kids, sliver of my heart, eyes of glory, in which I see the world through, Mohammed, Suliman, Saud and Lena. My sincere appreciation goes to my sisters and brothers. I am truly lucky and blessed to have them in my life. I would like to extend my grateful thanks to my colleagues and friends in software engineering development laboratory , Computer Science Department, and Kent State University, who helped me in different ways to accomplish my research and dissertation. I wish them luck in their careers. Finally, I greatly thank my dissertation committee for their appreciated services, efforts, and precious time.

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“…These metrics are also evaluated against Weyuker's Properties. Chhabra and Gupta [21] evaluates OO spatial complexity measures using formal evaluation frameworks as proposed by Weyuker.…”

Section: Literature Review For Estimation Of Software Complexitymentioning

confidence: 99%