Taghi Javdani Gandomani
Shahrekord University

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A case study of using the hybrid model of scrum and six sigma in software development Mona Najafi Sarpiri; Taghi Javdani Gandomani
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i6.pp5342-5350

Abstract

The world of software engineering is constantly discovering new ways that lead to an increase in team performance in the production of software products and, at the same time, brings the customer's further satisfaction. With the advent of agile methodologies in software development, these objectives have been considered more seriously by software teams and companies. Due to their very nature, agile methodologies have the potential to be integrated with other methodologies or specific managerial approaches defined in line with agility objectives. One of the cases is Six Sigma, which is used in organizations by focusing on organizational change and process improvement. In the present study, attempts were made to present the hybrid software development approach, including Scrum, as the most common agile and Six Sigma methodology. This approach was practically used in a case study, and the obtained results were analyzed. The results of this evaluation showed that this hybrid method could lead to the increased team performance and customer satisfaction. However, besides these two achievements, an increase in the number of re-works, number of defects discovered, and the duration of the project implementation were also observed. These cases are in line with the main objectives of Scrum and Six Sigma and are justifiable and acceptable due to achieving those objectives.
A novel risk management model in the Scrum and extreme programming hybrid methodology Mahnaz Afshari; Taghi Javdani Gandomani
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2911-2921

Abstract

Risk management in software development has always been one of the necessities of software project management. The logical nature of software projects and products has caused several challenges and risks in these projects. On the other hand, with the emergence of Agile methodologies, especially Scrum, and extreme programming (XP) methodologies, in recent years, this issue has become more serious. This is mainly because emphasizing limited documentation in these methodologies has caused these methods to pay little attention to some aspects of project management, particularly risk management. Concentrating on this challenge, the current study has proposed a risk management model in the hybrid methodology, combining Scrum and XP. Using this model in a case study shows this model's success in achieving risk management purposes. The results of this study indicate an appropriate reduction in the number of reworks, change requests, identified risks, and occurred risks. Moreover, the number of eliminated risks and team productivity have increased.
Software development effort estimation modeling using a combination of fuzzy-neural network and differential evolution algorithm Amir Karimi; Taghi Javdani Gandomani
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i1.pp707-715

Abstract

Software cost estimation has always been a serious challenge lying ahead of software teams that should be seriously considered in the early stages of a project. Lack of sufficient information on final requirements, as well as the existence of inaccurate and vague requirements, are among the main reasons for unreliable estimations in this area. Though several effort estimation models have been proposed over the recent decade, an increase in their accuracy has always been a controversial issue, and researchers' efforts in this area are still ongoing. This study presents a new model based on a hybrid of adaptive network-based fuzzy inference system (ANFIS) and differential evolution (DE) algorithm. This model tries to obtain a more accurate estimation of software development effort that is capable of presenting a better estimate within a wide range of software projects compared to previous works. The proposed method outperformed other optimization algorithms adopted from the genetic algorithm, evolutionary algorithms, meta-heuristic algorithms, and neuro-fuzzy based optimization algorithms, and could improve the accuracy using MMRE and PRED (0.25) criteria up to 7%.
A risk management framework for distributed scrum using PRINCE2 methodology Mohammad Esteki; Taghi Javdani Gandomani; Hadi Khosravi Farsani
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1354.718 KB) | DOI: 10.11591/eei.v9i3.1905

Abstract

The distributed Agile development approach has been accepted by software companies due to its promised benefits. However, due to the controversial nature of distributed and Agile development, significant challenges arise from spatial, temporal, social, and cultural differences between distributed teams. Scrum, as the most popular Agile methodology, assumes that team members work together in the same room. But this principle does not apply in a realistic scenario where Scrum teams are distributed in different locations. Hence, proposing a risk management framework is necessary in order to succeed such teams. The purpose of this research was to propose a risk management framework in Scrum using the PRINCE2 methodology, which includes the perceived risks in distributed Scrum projects and their causes and roots for managing these risks. By embedding distributed Scrum in delivery layer of PRINCE2 and considering perceived risk factors, along with a hybrid model, a risk management framework was suggested. This framework has been used in a case study, and the results showed its proper functionality in detecting and eliminating potential risks in the case under study. Also, using this framework led to higher team efficiency in terms of increasing the number of completed user stories in each sprint.
The effectiveness of test-driven development approach on software projects: A multi-case study Vahid Bakhtiary; Taghi Javdani Gandomani; Afshin Salajegheh
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.636 KB) | DOI: 10.11591/eei.v9i5.2533

Abstract

Over recent years, software teams and companies have made attempts to achieve higher productivity and efficiency and get more success in the competitive market by employing proper software methods and practices. Test-driven development (TDD) is one of these practices. The literature review shows that this practice can lead to the improvement of the software development process. Existing empirical studies on TDD report different conclusions about its effects on quality and productivity. The present study tried to briefly report the results from a comparative multiple-case study of two software development projects where the effect of TDD within an industrial environment. Method: We conducted an experiment in an industrial case with 18 professionals. We measured TDD effectiveness in terms of team productivity and code quality. We also measured mood metric and cyclomatic complexity to compare our results with the literature. We have found that the test cases written for a TDD task have higher defect detection ability than test cases written for an incremental NON-TDD development task. Additionally, discovering bugs and fixing them became easier. The results obtained showed the TDD developers develop software code with a higher quality rate, and it results in increasing team productivity than NON_TDD developers.
The main pillars of Agile consolidation in newly Agile teams in Agile software development Tayebe Mohamadi Gahroee; Taghi Javdani Gandomani; Mohammadreza Soltan Aghaei
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1216-1226

Abstract

Many software companies and teams use Agile methods as their main development approach. These methods promise higher team productivity, faster product delivery, a more flexible development process, and greater customer satisfaction. Nevertheless, a review of the literature shows that adapting to these methods, known as Agile transition, is not as easy as expected. However, several frameworks and models have been proposed to facilitate the Agile transition process. The challenging issue after the transition to agility is the behavior of companies and teams after the Agile transition and how to maintain agility in the long run. Very little research has been done on this issue, which has largely expressed concern. The present study tries to explore the hidden aspects of the transition to agility and provide a solution for Agile consolidation in newly Agile software teams. In this regard, using the grounded theory approach, the basic theory of Agile consolidation in these teams has been presented. Preliminary findings of the study indicate important factors that play an important role in Agile consolidation. Identification of challenges, facilitators, organizational culture structure, and human roles in Agile consolidation is the most important initial findings of this study.
Quality of agile adoption in global software development: An assessment model Mahnaz Afshari; Taghi Javdani Gandomani
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp367-376

Abstract

Over the last decade, software development has faced two approaches to Agile and global software development (GSD). While Agile development is focused on the reduction of software development overhead by reducing the distance between individuals and face-to-face communications, in global software development, the use of human power in various sites is considered. Despite their inherent differences, the combination of these two approaches has received considerable attention from researchers and software professionals. Meanwhile, the lack of a model or tool capable of assessing teams' adaptation to Agile methods seems to be a research gap. The current research aims to solve this challenge by proposing a model in this regard. Considering the major related factors and weighting them, this model allows software teams to assess the rate of their adaptation and success in global software development.
Software quality model based on development team characteristics Hamidreza Asfa; Taghi Javdani Gandomani
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp859-871

Abstract

Many factors have a significant impact on producing high-quality software products. Development team members are among the most important factors. Paying attention to the quality from this perspective will be a good innovation in the software development industry. Given that team members play a very important role in software products, this study tries to focus specifically on team characteristics in software product quality and provide a qualitative model based on this. The required data were collected through observations and interviews with project managers and development team members in several companies under study. Then, data were analyzed through hierarchical analysis. According to the results, the use of this model led to the improvement of the software development process so that the team members were satisfied with it. Also, time management was improved, and the customer expressed his satisfaction with the use of this model. Finally, data analysis showed that this model may lead to faster product delivery.