Automatic clustering constraints derivation from object-oriented software using weighted complex network with graph theory analysis

Chong, Chun Yong; Lee, Sai Peck

doi:10.1016/j.jss.2017.08.017

Cited by 24 publications

(8 citation statements)

References 36 publications

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“…To achieve this aim, we targeted four main objectives: (1) to revisit and identify the primary studies which have been carried out to examine the main factors that could potentially affect the reusability of software systems. (2) Based on the top five factors identified from the first objective (rank based on the frequency of published works), we seek to identify software metrics that are capable of measuring or estimating the reusability of software systems; (3) to collectively summarize the quality of the selected software metrics identified in the second objective and investigate if those software metrics that have been validated by an empirical study and through software tools, The final objective is to identify relevant open issues and challenges in the assessment of software reusability. Thus, the scope of this SLR is the identification of reusability affecting factors, software metrics proposed in existing literature that can be used to quantify top factors affecting reusability, their correlation with reusability, and the availability of tools to measure these metrics.…”

Section: Coupling Cohesionmentioning

confidence: 99%

“…1 Thus, it is common for software to become significantly more complex, insubstantial, and hard to maintain. 2 Reuse of software components can aid in the reduction of development cost for new software, or maintenance of existing ones. In general, software reusability is defined as the extent to which software artifacts can be reused in a different environment, 3 instead of developing them from scratch.…”

Section: Introductionmentioning

confidence: 99%

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Reusability affecting factors and software metrics for reusability: A systematic literature review

et al. 2021

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Measuring and estimating the reusability of software components is important towards finding reusable candidates. Researchers have shown that software metrics can be effectively used to assess software reusability. This work provides a systematic literature review to investigate the main factors that influence software reusability and how these identified factors can be quantified using software metrics. This paper also investigates tool availability of the identified software metrics. Based on the extensive study, we narrowed down 44 factors that could positively or negatively affect the reusability of software systems. In term of software metrics, we report our findings through five main families of metrics, namely coupling, cohesion, complexity, inheritance, and size. We found that most of the metrics examine reusability at the class-level, and the availability of software tools is limited. Furthermore, not all reusability affecting factors are equally impactful to assess the reusability of software components.While existing studies often discussed the impact of complexity towards software reusability, we found that only a handful of complexity metrics were meant for assessing reusability. We have identified several open challenges and gaps in the area, in particular lack of quantifiable measurement for reusability, limited software tools, and limited metrics that directly measure reusability.

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Section: Coupling Cohesionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reusability affecting factors and software metrics for reusability: A systematic literature review

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The maintainability and reliability of these systems were then carefully evaluated based on the networks. Later, they [64] provided an approach that can help practitioners automatically achieve the clustering constraints from the implicit structure of software systems based on graph theory. In [65], Myers discussed the relationships between several network topological measurements to software engineering practices.…”

Section: Related Studiesmentioning

confidence: 99%

What Ruined Your Cake: Impacts of Code Modifications on Bug Distribution

Guo

Wong

2020

IEEE Access

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In the current decade, software systems have been more intensively employed in every aspect of our lives. However, it is disappointing that the quality of software is far from satisfactory. More importantly, the complexity and size of today's software systems are increasing dramatically, which means that the number of required modifications is also increasing exponentially. Therefore, it is necessary to understand how function-level modifications impact the distribution of software bugs. In addition, other factors such as a function's structural characteristics as well as attributes of functions themselves may also serve as informative indicators for software fault prediction. In this paper, we perform statistical methods and logistic regression to analyze the possible factors that are related to the distribution of software bugs. We demonstrate our study from the following five perspectives: 1) the distribution of bugs in time and space; 2) the distribution of function-level modifications in time and space; 3) the relationship between function-level modifications and functions' fault-proneness; 4) the relationship between functional attributes and functions' fault-proneness; and 5) the relationship between software structural characteristics and functions' fault-proneness. INDEX TERMS Bug, bug distribution, defected software systems, modifications, open source projects.

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“…Some tools are available to support Class Responsibility Assignment (CRA) which can be used for analysing and designing OOP, was designed to provide a cognitive toolkit for designers and developers [4]. Designing the object-oriented software (OOS) is the complex process and in the initial steps it's included analysing the class candidates and allocating responsibilities of a system to them [5]. This type of initial design is applied in more advanced Object-oriented mechanisms like interfaces, design patterns, inheritance or even architectural styles [6].…”

Section: Introductionmentioning

confidence: 99%

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Vorsu¹,

Arramraju²,

Bhanothu³

2018

IJIES

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Object Oriented Program (OOP) provides the way to reuse the program by pre-implementing functionalities in the software. It is difficult to develop the object oriented software, which is important in the computer programing. For OOP, modularization mainly depends on the class. There are many methods present for the assigning responsibilities, but most of them are based on the human for decision making. In this research, back propagation neural network (BPNN) was used to provide the solution to object oriented design of the software. The Cinema Booking System (CBS) was taken as the input documentation and Formal Concept analysis (FCA) then found the relationship of the element in the lattice manner, after that the relationship was set with each other. The result showed that the proposed system outperformed the existing system and also the design made manually.

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Automatic clustering constraints derivation from object-oriented software using weighted complex network with graph theory analysis

Cited by 24 publications

References 36 publications

Reusability affecting factors and software metrics for reusability: A systematic literature review

Reusability affecting factors and software metrics for reusability: A systematic literature review

What Ruined Your Cake: Impacts of Code Modifications on Bug Distribution

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

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