Intuitionistic Fuzzy Decision Making Towards Efficient Team Selection in Global Software Development

2022 ◽  
pp. 1756-1775
Author(s):  
Mukta Goyal ◽  
Chetna Gupta
Keyword(s):  
Decision Making ◽  
Software Development ◽  
Global Software Development ◽  
Fuzzy Decision Making ◽  
P Value ◽  
Software Project ◽  
Team Members ◽  
Intuitionistic Fuzzy ◽  
Team Selection ◽  
Manual Selection

For successful completion of any software project, an efficient team is needed. This task becomes more challenging when the project is to be completed under global software development umbrella. The manual selection of team members based on some expert judgment may lead to inappropriate selection. In reality, there are hundreds of employees in an organization and a single expert may be biased towards any member. Thus, there is a need to adopt methods which consider multiple selection criteria with multiple expert views for making appropriate selection. This article uses an intuitionistic fuzzy approach to handle uncertainty in the expert's decision in multicriteria group decision making process and ranking among the finite team members. An intuitionistic fuzzy Muirhead Mean (IFMM) is used to aggregate the intuitionistic criteria's. To gain confidence between criteria and expert score relationship, the Annova test is performed. The results are promising with p value as small as 0.02 and one-tail t-test score equals to 0.0000002.

Intuitionistic Fuzzy Decision Making Towards Efficient Team Selection in Global Software Development

2020 ◽  
Vol 13 (2) ◽  
pp. 75-93
Author(s):  
Mukta Goyal ◽  
Chetna Gupta
Keyword(s):  
Decision Making ◽  
Software Development ◽  
Global Software Development ◽  
Fuzzy Decision Making ◽  
P Value ◽  
Software Project ◽  
Team Members ◽  
Intuitionistic Fuzzy ◽  
Team Selection ◽  
Manual Selection

For successful completion of any software project, an efficient team is needed. This task becomes more challenging when the project is to be completed under global software development umbrella. The manual selection of team members based on some expert judgment may lead to inappropriate selection. In reality, there are hundreds of employees in an organization and a single expert may be biased towards any member. Thus, there is a need to adopt methods which consider multiple selection criteria with multiple expert views for making appropriate selection. This article uses an intuitionistic fuzzy approach to handle uncertainty in the expert's decision in multicriteria group decision making process and ranking among the finite team members. An intuitionistic fuzzy Muirhead Mean (IFMM) is used to aggregate the intuitionistic criteria's. To gain confidence between criteria and expert score relationship, the Annova test is performed. The results are promising with p value as small as 0.02 and one-tail t-test score equals to 0.0000002.

scholarly journals Addressing Communication, Coordnation and Cultural Issues in Global Software Development Projects

2021 ◽  
Vol 9 (1) ◽  
pp. 13-30
Author(s):  
Sami-Ul-Haq ◽  
Muhammad Naeem Ahmed Khan ◽  
Aamir Mehmood Mirza ◽  
Imran Saleem ◽  
Saif Ur Rehman ◽  
...  
Keyword(s):  
Software Development ◽  
Empirical Studies ◽  
Labor Cost ◽  
Easy Access ◽  
Global Software Development ◽  
Software Project ◽  
Cultural Issues ◽  
Time Zone ◽  
Team Members ◽  
Faster Development

The field of Global Software Development has been an active area of research for the last two decades due to its enormous benefits such as lower labor cost, faster development and easy access to the skilled labor pool. Apart from these benefits, it faces some challenges like communication, coordination, trust and configuration management etc. These challenges arise primarily due to physical, cultural and time zone differences. The empirical studies highlight that the existing Global Software Development solutions do not fully meet the user needs as there are still several gaps in these solutions. Therefore, to fulfill these gaps, there is a need to develop novel frameworks that address outstanding issues. In this paper, we have attempted to address the aforesaid GSD challenges. The practitioners can benefit from our proposed framework during the execution of GSD projects. The proposed framework mainly focuses on the root causes of the two principal challenges namely the communication and cultural differences. We believe that if the team members of a software project can communicate effectively and show considerations for others by imparting due reverence to the cultural norms, then the other residual issues can easily be reduced and minimized.

Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijit Majumdar ◽  
Jeevaraj S ◽  
Mathiyazhagan Kaliyan ◽  
Rohit Agrawal
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Emerging Economies ◽  
Supplier Selection ◽  
Fuzzy Decision Making ◽  
Ideal Solution ◽  
Fuzzy Decision ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Selection Of

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.

A New Approach for Reinforcement of Project DEMATEL-FMCDM-TODIM Fuzzy Approach

2018 ◽  
pp. 234-243
Author(s):  
Rajshree Srivastava ◽  
Shiv Kumar Verma ◽  
Vikas Thukral
Keyword(s):  
Decision Making ◽  
Vital Role ◽  
Fuzzy Decision Making ◽  
Software Project ◽  
Assessment Framework ◽  
Fuzzy Decision ◽  
Effective Work ◽  
Laboratory Trial ◽  
Software Risk ◽  
Software Lifecycle

This chapter describes how an effective work towards software project risk plays a vital role in determining the accomplishment of any project. In this chapter, the aim is to associate fuzzy criteria decision-making based on the approaches for the development of an assessment framework. This framework will be helpful in terms of identification and ranking the software risk according to its characteristics which will be helpful in decision-making of a software lifecycle. For the assessment for the risk of a project, there is an integration of fuzzy decision-making trial, evaluation laboratory trial and fuzzy multi-criteria decision. This new method proposed will be effective in terms of ranking and as well as to measure the software risk factors.

E-Mentoring in Global Software Development Teams

2013 ◽  
pp. 160-175
Author(s):  
Ricardo Colomo-Palacios ◽  
Alok Mishra ◽  
Cristina Casado-Lumbreras ◽  
Pedro Soto-Acosta
Keyword(s):  
Software Development ◽  
Success Factors ◽  
Global Software Development ◽  
Team Members ◽  
Common Culture ◽  
Development Teams ◽  
Software Development Teams ◽  
Communication And Coordination ◽  
Cross Cultural Management ◽  
Correct Application

Global Software Development (GSD) teams face communication and coordination problems due to spatial, temporal, and cultural separation between team members. Cultural diversity and cross-cultural management are significant issues among GSD teams. In software development projects, mentoring dramatically reduces the learning curve for novice human resources. Due to the large amount of electronic communication instruments, a remarkable number of different e-Mentoring concepts have emerged, which provides opportunity for mentoring that would not otherwise be possible. This chapter presents key success factors to enable e-Mentoring as a tool to develop a common culture in GSD scenarios. These success factors enable the correct application of mentoring programmes and the use of this to build a common culture in organizations that perform GSD.

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