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Darwish, Nagy Ramadan
- A Fuzzy Approach for Evaluating the Complexity of Applying Refactoring in Software Development Process
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PDF Views:3
Authors
Affiliations
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
2 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
2 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Fuzzy Systems, Vol 9, No 5 (2017), Pagination: 81-86Abstract
This paper focuses on proposing a fuzzy approach for evaluating the complexity related to apply refactoring in software development process. Refactoring is one of the most important practices in eXtreme Programming (XP) methodology. Refactoring is defined as "a change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behavior". In addition, it is used for enhancing the maintainability; improving reusability and understandability of the software. The one of evaluation refactoring is complexity metrics. This evaluation depends on comparing the values of related metrics before and after applying the refactoring. The evaluation of complexity metrics has different degrees which start from simple to complex, so this research proposes using fuzzy logic on the metrics to evaluate the effect of refactoring based on complexity measures.
Keywords
Agile Methods, Fuzzy Logic, Fuzzy Model Refactoring, Refactoring Metrics, Software Development, Extreme Programming, Complexity Metrics.
References
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- A Fuzzy Approach for Wieger’s Method to Rank Priorities in Requirement Engineering
Abstract Views :284 |
PDF Views:2
Authors
Affiliations
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Fuzzy Systems, Vol 9, No 9 (2017), Pagination: 189-196Abstract
Prioritization helps to take good decisions according to various aspects of functionality such as risk, cost, maintenance, time etc. Prioritization decisions are made by stakeholders which include users, managers, developers, or their representatives. This paper focuses on proposing a fuzzy approach for Wieger’s Method to rank priorities in requirement engineering. This paper presents techniques of priorities in decision making. Wieger’s Method focuses on benefit, penalty, cost and risk as main factors in effecting of decision making. This method assigns weights for benefit, penalty, cost and risk. The previous factors are considered unclear and qualitative metric so using fuzzy logic to valuable in degree is more real and suitable. This paper proposed a framework which depends on resulting priorities for requirements with fuzzy Wieger’s Method, it results ranking priorities with fuzzy weights to benefits, penalty, risk and cost. Wieger’s Method using fuzzy logic compared to classical version is near to interest of stakeholder in importance each factor.Keywords
Wieger’s Method, Fuzzy Logic, Requirements Prioritization, Requirement Engineering.References
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- Ruby, Balkishan, “Role of Fuzzy Logic in Requirement Prioritization”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 6, 2015.
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- A Proposed Hybrid Prioritization Technique for Software Requirements Based on Fuzzy Logic
Abstract Views :171 |
PDF Views:2
Authors
Affiliations
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Fuzzy Systems, Vol 10, No 2 (2018), Pagination: 45-52Abstract
Requirements prioritization is the most important technique in analysis phase of requirement engineering. The researchers tries to solve the problem of prioritization in many methods and techniques, one of them is presented[1] as enhancement of requirements prioritization based on hybrid combination of 3 popular techniques (QFD (Quality Function Deployment), CV (Cumulative Voting), and AHP (Analytical Hierarchy Process)). This paper focuses on proposing a fuzzy treatment for that technique because the requirements has uncertainty and hazy decisions that are made by stakeholders. The stakeholders include users, managers, developers, or their representatives. Using fuzzy logic is better suitable and real because it uses degree of importance requirements for users. So this technique tries to solve weakness in other techniques such as complex decision making structures, ability to handle group decision making and ability to manage uncertainty. This paper compares fuzzy logic version of that enhancing hybrid technique to classical version of it by using numeric example.Keywords
Goal Based Technique, Fuzzy Logic, Requirements Prioritization, Requirement Engineering, Multi Criteria Fuzzy Logic.References
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- Ruby, Balkishan, “Role of Fuzzy Logic in Requirement Prioritization”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 6, 2015
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- P.Berander ,A.Andrews, “Requirements Prioritization”, engineering and managing software requirements, springer verlag, 2005.
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