A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Darwish, Nagy Ramadan
- A Refactoring Approach to Enhance Software Development Process
Authors
1 Institute of Statistical Studies and Research (ISSR), Cairo University, Giza, EG
Source
Software Engineering, Vol 8, No 8 (2016), Pagination: 191-200Abstract
The quality of software is an important topic in the development of successful software application. Many software development methods have been applied to enhance the software quality. The improvement of software quality can be achieved through using refactoring which improves the internal structure of a software without changing its external behavior. However, refactoring effects the quality attributes of software such as reusability, complexity, maintainability, flexibility, modularity, modifiability, and understandability. Thus, there is a need to proof the imprint of refactoring on the software quality. This paper will propose a software development model under the refactoring method concept. In addition, an evaluation will be conducted to check the effectiveness of the reusability and modifiability quality attributes on a software development process with and without applying the refactoring method. As a result, this study can be used by developers to aid them in determining whether to apply refactoring to improve quality attributes.
Keywords
Refactoring, Metrics, Software Development, Software Process, EXtreme Programming, Quality Attributes, Reusability, Modifiability.
- Success Factors of Scrum Team:A Systematic Survey
Authors
1 Department of Information Technology and Systems, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
2 Department of Computer and Information Sciences, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Software Engineering, Vol 9, No 4 (2017), Pagination: 57-64Abstract
There are thousands of teams that are using the Scrum. But few of them are really “living” Scrum and achieve the success of their projects. This paper discusses the factors that lead the Scrum team to be successful. This paper introduces some important previous works related to the success factors in agile projects; especially that related to the Scrum teams. Then, the researchers extract a list of most effective success factors of the Scrum team. The researchers put the gathered success factors in a form of a questionnaire and passed it to 70 respondents to extract the importance degree of every success factor. Only 57 respondents provide the researchers with complete answers. Depending on the results, the success factors of the Scrum team are categorized according to the importance degree. This paper highlighted the most important success factors that must be considered by Scrum teams when developing a software project.
Keywords
Agile Methods, Scrum, Scrum Team, Software Projects, Success Factors.- Integrating RUP Approach with Agile Method for Large Scale Projects
Authors
1 Department of Information Systems and Technology, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Software Engineering, Vol 9, No 5 (2017), Pagination: 85-90Abstract
Software has become part of all aspects of our lives, and organizations are increasingly conceiving extremely large and complex software projects. Software industry has an option to choose suitable methodology/process model for its current needs to provide solutions to give problems. According to some researchers, a hybrid approach can help optimize the software development lifecycle by combining two or more methodologies. eXtreme programming (XP) and Scrum are most widely practiced and documented agile models. Both XP and scrum work well for small projects whereas Rational Unified Process (RUP) is suitable for large projects. This paper analyzes characteristics, strengths, and weaknesses of both conventional and agile methods. This paper also explains the four major phases and nine disciplines of the RUP, XP and the common elements of the Scrum process. Finally, this paper suggests a new hybrid software development method that combines the RUP with XP and Scrum process to accommodate the strengths of both methods while suppressing their weaknesses to get high quality and improve the team productivity. The hybrid method can be utilized in the software industry, particularly, in the business sectors that deal with large-scale projects.
Keywords
Rational Unified Process Methodology, Scrum, XP, Agile Development Methodology, Large Scale Projects.References
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- del Nuevo, E., M. Piattini, and F. J. Pino, “Scrum-based Methodology for Distributed Software Development,” 2011 6th IEEE International Conference on Global Software Engineering (ICGSE), (August, 2011), pp. 66-74.
- Batra, D., X. Weidong, D. VanderMeer, and K. Dutta, “Balancing Agile and Structured Development Approaches to Successfully Manage Large Distributed Software Projects: A case Study from the Cruise Line Industry”, Communications of the Association for Information Systems 27, 21 (August, 2010), pp. 379-394.
- Karlstrom, D. and P. Runeson, “Combining agile methods with Stage-gate Project Management,” Software, IEEE 22, 3 (May-June 2005), pp. 43-49.
- Nishijima, R. T. and J. G. Dos Santos, “The Challenge of Implementing Scrum Methodology in a Traditional Development Environment,” International Journal of Computing & Technology 5, 2 (May-June, 2013), pp. 98-108.
- M. Almseidin , Kh. Alrfou , N. Alnidami , A.Tarawneh, "A Comparative Study of Agile Methods: XP versus SCRUM ", International Journal of Computer Science and Software Engineering (IJCSSE), Volume 4, Issue 5, May 2015,pp. 126-129.
- K. Dikert, M.Paasivaara, and C.Lassenius,, 2016. Challenges and success factors for large-scale agile transformations: A systematic literature review. The Journal of Systems & Software, (119), pp.87-108.
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- Darwish, Nagy Ramadan. "Enhancements In Scum Framework Using Extreme Programming Practices." International Journal of Intelligent Computing and Information Sciences (IJICIS), Ain Shams University 14, no. 2 (2014): 53-67.
- Darwish, Nagy Ramadan. "Improving the Quality of Applying eXtreme Programming (XP) Approach." International Journal of Computer Science and Information Security 9, no. 11 (2011): 16.
- G. Ahmad, T. R. Soomro, M. N. BrohI, "Agile Methodologies: Comparative Study and Future Direction", EUROPEAN ACADEMIC RESEARCH Vol. I, Issue 11,, (February 2014), PP.3826-3841.
- A Fuzzy Approach for Evaluating the Complexity of Applying Refactoring in Software Development Process
Authors
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.Singhal, H.Banati, “Fuzzy Logic Approach for Threat Prioritization in Agile Security Framework using DREAD model”, 2013
- K.Usha ,N.'Poonguzhali ,E.Kavitha, 2009, “A Quantitative Approach for Evaluating the Effectiveness of Refactoring in Software Development Process”, International Conference on Methods and Models in Computer Science, India
- R.G.Hussain, A. Javed ,” Qualitative Approach For Estimating the Influence Of Refactoring And Scrum In Software Development”, International Journal of Engineering Research and General Science Volume 3, Issue 2, March April, 2015
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- SuccessFactors of Requirement Elicitation:A Comprehensive Survey
Authors
1 Department of Computer and Information Sciences, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
2 Department of Information Technology and Systems, Institute of Statistical Studies and Research, Cairo University, Cairo, EG
Source
Software Engineering, Vol 9, No 6 (2017), Pagination: 109-115Abstract
Requirements elicitation is an important phase of the requirement engineering process. A complete and accurate collection of user requirement can reach to the success of the project. This paper studied and discussed the success factors of requirements elicitation task. First, some important previous works related to the requirement elicitation process are presented. Then, the researchers extract a list of most effective success factors of the requirement elicitation. A new list of the collected success factors is proposed that includes two dimensions; success factors should be considered before beginning the requirement elicitation process, and success factors should be considered during the process.
Keywords
Success Factors, Requirement Engineering, Requirement Elicitation, User Requirements, Project Successful.References
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- A Fuzzy Approach for Wieger’s Method to Rank Priorities in Requirement Engineering
Authors
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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- A Proposed Hybrid Prioritization Technique for Software Requirements Based on Fuzzy Logic
Authors
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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- A.T.Raslan, N.R.Darwish, H.A.Hefny, “Towards a Fuzzy based Framework for Effort Estimation in Agile Software Development”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 13, No. 1, 2015.
- Ruby, Balkishan, “Role of Fuzzy Logic in Requirement Prioritization”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 6, 2015
- A.KARAMI, Z.GUO, “A Fuzzy Logic Multi-Criteria Decision Framework for Selecting IT Service Providers”, Proceedings of the 45th Annual Hawaii International Conference on System Sciences HICSS 2012: January 4-7, 2012, Maui, Hawaii.1118-1127. Research Collection School Of Information Systems.
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- Automatic Requirement Classification Technique: Using Different Stemming Algorithms
Authors
Source
Data Mining and Knowledge Engineering, Vol 10, No 6 (2018), Pagination: 122-127Abstract
Requirement Engineering is the first crucial stage in the software life cycle. Classifying those requirements into functional and non-functional requirements is an important activity during requirement engineering process. As a result of requirement engineering process, a software requirement specification document is produced. This document contains a detailed description of all requirements written using natural language. The automatic processing of natural language is not an easy task. Since natural language is full of ambiguity, has no formal structure, and very variable. This paper presents an automatic classification of requirements into functional and non-functional requirements using two machine learning algorithms. In this paper, different stemming techniques are used to address some of natural language challenges. A dataset of 625 requirements (functional and non-functional) is used to train and test the machine learning model. The experiments showed that some stemming techniques increased the performance than other stemming techniques.
Keywords
Requirement Classification, Non-Functional Requirements, Stemming, Software Projects, Functional Requirements.- A Proposed Approach for Revealing Failure of Agile Software Projects
Authors
Source
Artificial Intelligent Systems and Machine Learning, Vol 10, No 10 (2018), Pagination: 223-229Abstract
Revealing the failure of agile software projects is a great challenge faced by software companies. This paper focuses on the using of intelligent techniques such as fuzzy logic, multiple linear regressions, support vector machine, neural network to address this challenge. This paper also presents a review of some works related to this area of interest. In this paper, the researchers propose an approach for revealing the failure of agile software projects based on two intelligent techniques: fuzzy logic and Multiple Linear Regressions (MLR). MLR is used to determine crucial failure factors of agile software projects. Fuzzy logic is used for revealing failure of agile software projects.
Keywords
Agile Software Projects, Intelligent Techniques, Fuzzy Logic, Linear Regression- A Proposed Approach for Combining Software Projects Methodologies
Authors
1 Helwan University, EG
2 Computers and Information, Cairo University, EG
3 Commerce & Business Administration, Helwan University, EG
Source
Software Engineering, Vol 10, No 10 (2018), Pagination: 203-207Abstract
In software engineering, there are a variety of methodologies or methods for developing and managing software projects. These methodologies can fall under two main categories: agile and classical. There is no methodology that is appropriate for all situations. It is advisable to combine these methodologies to strengthen their throughputs while reducing their weaknesses and limitations. However, the literature has shown that there is a lack of studies that address the problem of combining two or more methodologies to software development and management. In this paper, the researchers propose a systematic approach that shows how to flexibly build new hybrid methodologies based on their metamodels. Metamodeling provides a formal specification that allows for developing tools that support the use of the new hybrid methodology.
Keywords
Software Development, Software Classical Models, Agile Methodologies, Metamodels, Ontology, Hybrid Software Development Models.References
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- A Survey on Authorship Attribution Issues of Arabic Text
Authors
1 Department of Information Systems and Technology, Faculty of Graduate Studies for Statistical Research, Cairo University, EG
Source
Artificial Intelligent Systems and Machine Learning, Vol 12, No 5 (2020), Pagination: 86-92Abstract
Authorship attribution is a hot research domain which includes many issues such as discovering whether a specific text possesses to a specific author or not, solving the problem of authorship attribution claim between authors of one disputed work, discrimination between two or more stylometric of authors, detecting the most probable author for an unknown text and studying the difference between Stylometric of authors according to gender or political view or religion or education or job or motivation... and so on. Many attempts have been started to solve these problems using statistical methods such as Naı¨ve Bayes and Bayesian. Recently, other efforts have been done in this domain by utilizing artificial intelligence techniques such as machine learning and natural language processing... and so on. This paper presents a literature review of the utilization of machine learning techniques in authorship attribution. Besides, it covers the main approaches to solve different recent issues in Arabic authorship attribution.Keywords
Arabic Text, Artificial Intelligence, Authorship Attribution, Machine Learning, Stylometric- A Literature Review on Quality Assurance Mechanisms for Volunteered Geographic Information
Authors
1 Cairo University, Faculty of Graduate Studies for Statistical Research, Department of Computer Science, EG
2 Cairo University, Faculty of Graduate Studies for Statistical Research, Department of Information Systems and Technology, EG
Source
Software Engineering, Vol 11, No 7 (2019), Pagination: 116-121Abstract
Nowadays, Volunteered Geographic Information (VGI) becomes an important source of massive citizen-generated Geographic Information (GI) datasets. VGI not only creates new GI datasets, it enriches the existing authoritative datasets as well. Furthermore, in some contexts where authoritative datasets is not available, VGI may be the only source of GI. Although, VGI possess numerous advantages, it unfortunately faces several challenges. One of the clear challenges that face VGI is the quality. VGI quality is inherently heterogeneous and VGI lacks quality assurance. Due to its different nature, VGI does not comply with standard quality assurance procedures that are applied to spatial data. Thus, assuring VGI quality becomes increasingly important. Various previously proposed studies are concerned with VGI quality assurance. This paper conducts a literature review on previously proposed VGI quality assurance mechanisms. The paper discusses each mechanism and its limitations. A comparison between all proposed mechanisms is conducted as well.