Analysis of Refactoring Effect on Software Quality of Object-Oriented Systems

Author(s):  
Ruchika Malhotra ◽  
Juhi Jain
2021 ◽  
Vol 12 (3) ◽  
pp. 1-16
Author(s):  
Mokhtaria Bouslama ◽  
Mustapha Kamel Abdi

The cost of software maintenance is always increasing. The companies are often confronted to failures and software errors. The quality of software to use is so required. In this paper, the authors propose a new formal approach for assessing the quality of object-oriented system design according to the quality assessment model. This approach consists in modeling the input software system by an automaton based on object-oriented design metrics and their relationship with the quality attributes. The model exhibits the importance of metrics through their links with the attributes of software quality. In addition, it is very practical and flexible for all changes. It allows the quality estimation and its validation. For the verification of proposed probabilistic model (automaton), they use the model-checking and the prism tool. The model-checking is very interesting for the evaluation and validation of the probabilistic automaton. They use it to approve the software quality of the three experimental projects. The obtained results are very interesting and of great importance.


Author(s):  
Yann-Gaël Gueheneuc ◽  
Jean-Yves Guyomarc’h ◽  
Khashayar Khosravi ◽  
Hourari Sahraoui

Software quality models link internal attributes of programs with external quality characteristics. They help in understanding relationships among internal attributes and between internal attributes and quality characteristics. Object-oriented software quality models usually use metrics on classes (such as number of methods) or on relationships between classes (for example coupling) to measure internal attributes of programs. However, the quality of object-oriented programs does not depend on classes solely: it depends on the organisation of classes also. We propose an approach to build quality models using patterns to consider program architectures. We justify the use of patterns to build quality models, describe the advantages and limitations of such an approach, and introduce a first case study in building and in applying a quality model using design patterns on the JHotDraw, JUnit, and Lexi programs. We conclude on the advantages of using patterns to build software quality models and on the difficulty of doing so.


2020 ◽  
Vol 5 (17) ◽  
pp. 1-5
Author(s):  
Jitendrea Kumar Saha ◽  
Kailash Patidar ◽  
Rishi Kushwah ◽  
Gaurav Saxena

Software quality estimation is an important aspect as it eliminates design and code defects. Object- oriented quality metrics prediction can help in the estimation of software quality of any defects and the chances of errors. In this paper a survey and the case analytics have been presented for the object-oriented quality prediction. It shows the analytical and experimental aspects of previous methodologies. This survey also elaborates different object-oriented parameters which is useful for the same problem. It also elaborates the problem aspects as well the limitations for the future directions. Machine learning and artificial intelligence methods have been considered mostly for this survey. The parameters considered are inheritance, dynamic behavior, encapsulation, objects etc.


2016 ◽  
Author(s):  
Mariana De Azevedo Santos ◽  
Paulo Henrique De Souza Bermejo ◽  
Heitor Costa

Although it is necessary, activities regarding quality assurance and maintenance of software are considered the longest and most complex in software development lifecycle. Taking advantage of this growing trend and of the benefits obtained from open-source initiative, researches on open-source software quality and maintainability have gained renewed interest. The use of robust statistical techniques, such as PLS-SEM to investigate and empirically validate software quality models has also been an efficient alternative to obtain information on open-source software quality. The aim of this study was evaluate and build a conceptual model to characterize the internal quality in Java open-source software in different domains, validated with the PLS-SEM technique. The study results indicate that there are domains with similarities among them and four factors can influence the internal quality of object-oriented software to present better maintainability (Complexity Reduce, Normalized Cohesion, Non-normalized Cohesion, and Increase of the Modularity Level). Besides, we identified some measures are more effective to evaluate internal quality in object-oriented open-source, such as, Fan-out (FOUT), Lack of Cohesion of Methods 2 (LCOM2), Response for Class (RFC), Tight Class Cohesion (TCC), and Loose Class Cohesion (LCC). Thus, this study aims at supporting software engineers and project managers to develop measurement strategies to ensure internal quality of source code and reduce maintenance costs.


Aspect-oriented software development (AOSD) seeks to renovate the software quality by use of alteration to the design in object-oriented based systems. Each system component has been divided into numbers of modules and arranges a design in a way that the module has not crosscut to each other. A module is a collection of block of codes, whose role is to restrict and conceal the design definition. This type of behavior is known as the Separation of Concerns (SoC). AOP helps programmers for separating crosscutting concerns. It can be helpful at better modularizing system, the problem with complex system is that the component require different, crosscutting descriptions at different levels and need maintenance too. In this paper, a study was conducted to analyses quality in aspect-oriented software design. This paper also explores varieties of existing metrics related to AOP also and will discuss in detail with comparison of OOPs using small scale projects that how the new programming paradigm design effects on quality of the software.


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