Complexity Metrics for Component-based Software Systems: Developer Perspective

Sellami, Anis; Abdellatief, Majdi; Ahmed, Elfaki Mohamed; Wahaballa, Abubaker

doi:10.17485/ijst/2018/v11i32/123093

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…In other words, if the Mab is 1 then function b th is called by the a th function either directly or indirectly. The MMAC is given by (7). 7Where, nm, na are the number of methods and attributes in class c respectively.…”

Section: (5)mentioning

confidence: 99%

“…A high-quality software should produce less complexity, coupling and high cohesion as low coupling and high cohesion reduces the testing and maintainability cost [6]. Coupling, cohesion as well as the complexity of software can be measured by using the software metric [7]. Software metric plays a significant role to control the quality of software this is due to the fact that improvement needs measurement which is done through the metric.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of Component based Metric for Software Complexity Measurement

Gahlot*¹,

Chhillar²

2019

IJRTE

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his paper designs a single component based metric to measure the complexity of any software in any phase of software development life cycle. The metric is designed on the basis of existing coupling and cohesion metrics like normalized hamming code (NHD), lack of cohesion in methods (LCOM), conceptual coupling(CoCC), structural and semantic coupling metric(SSCM). The designed metric also covers the coupling between parent and its inherited class, static import, anonymous class contribution and the coupling between inner and outer class to analyze the complexity of software precisely. The analysis of the metric has been done on seven industrial and academic projects against existing state of art coupling and cohesion metric i.e. NHD, COCC, SSCM, LCOM5 and method attribute cohesion metric. The result and analysis shows the significance of the designed metric.

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Section: (5)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Component based Metric for Software Complexity Measurement

Gahlot*¹,

Chhillar²

2019

IJRTE

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Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Khan

et al. 2022

IEEE Access

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Component-Based Software Development (CBSD) is a very demanding approach for developing complex products or systems. In CBSD, software or product is creating from reusable pieces of components. With the help of CBSD, a complex system or software is developed with high quality, security, and within limited time and cost. However, this research will convince the outsourcing vendor organization to adopt the component software development using the CBSD approaches. A Systematic Literature Review (SLR) is used to extract all the possible success factors regarding CBSD that have positively impact software outsourcing vendor organization. The identified success factors comprise 'Well Trained and Skilled Team'; ' Proper Selection of Components'; ' Using Standard for Designing'; ' Well defined Architecture'; ' Proper Testing and Analysis; ' Efficient Integration'; ' Quality Assurance'; ' Proper Documentation'; 'well-organized security'; ' Trusted and Certified.' This research paper is also identifying the differences and similarities of success factors in various continents. This research paper is also convincing the software outsourcing vendor organization to adopt the concept of CBSD. The proposed method has analyzed the identified challenges continent-wise using the Chi-Square test to determine the significant difference.

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Metrics and Models for Evaluating the Quality of ERP Software

Mohammed

Talib

Al-Baltah

2020

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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ERP system provides a central system that integrates most of the core business processes such as human resources, finance, production, and so on. Due to the integration of such complicated functionalities and rapidly evolving customers expectation, ERP systems evaluation has an important impact on organization business success. The aim of this chapter is to understand the evaluation approaches of the ERP systems, and then to map the identified primary studies into a classification scheme to answer the research questions. A systematic mapping study was employed. A total of 36 studies published between the years 2002 and 2018 were collected, analyzed, classified, and discussed. A list of relevant ERP quality attributes that have been measured is identified. Reliability of the metrics methodology and the validity of indicator generated by the metric are two major issues in the current research. It is worth noting that while both the academic and professional literature has shown a great interact in ERP, there does not exist an evaluation approach that is widely accepted.

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Complexity Metrics for Component-based Software Systems: Developer Perspective

Cited by 3 publications

References 17 publications

Design and Implementation of Component based Metric for Software Complexity Measurement

Design and Implementation of Component based Metric for Software Complexity Measurement

Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Metrics and Models for Evaluating the Quality of ERP Software

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