ORCID Profile
0000-0002-2023-0511
Current Organisation
Torrens University Australia
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Publisher: EJournal Publishing
Date: 2017
Publisher: IEEE
Date: 2017
Publisher: EJournal Publishing
Date: 2017
Publisher: IEEE
Date: 08-2016
Publisher: Springer Science and Business Media LLC
Date: 25-04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 10-2012
Publisher: Computers, Materials and Continua (Tech Science Press)
Date: 2021
Publisher: IGI Global
Date: 07-2017
Abstract: Global software development, an emerging software development methodology within a technology-enabled environment has recently received increased attention from scholars and practitioners. Despite the fact that the lack of effective communication is a major challenge of globally distributed teams, communication research related to the scale development is still very limited in existing literature. Considering the communication challenges and increasing need to measure the effectiveness of communication, this research is focused to develop a scale for “Effective Communication” for globally distributed software development teams. Systematic literature review is performed to identify the best practices of effective communication for the development of “Effective Communication” scale. A questionnaire survey consisting of 29 items is administered in globally distributed software development teams. Confirmatory factor analysis and statistical results depicted that the four-factor model (e.g. stakeholders' involvement, acculturation, usage of appropriate tools and technology, and information availability) is more parsimonious and an optimal model fit.
Publisher: IEEE
Date: 12-2013
Publisher: Walter de Gruyter GmbH
Date: 10-2015
Abstract: A project manager balances the resource allocation using resource leveling algorithms after assigning resources to project activities. However, resource leveling does not ensure optimized allocation of resources. Furthermore, the duration and cost of a project may increase after leveling resources. The objectives of resource allocation optimization used in our research are to (i) increase resource utilization, (ii) decrease project cost, and (iii) decrease project duration. We implemented three search-based software engineering algorithms, i.e. multiobjective genetic algorithm, multiobjective particle swarm algorithm (MOPSO), and elicit nondominated sorting evolutionary strategy. Twelve experiments to optimize the resource allocation are performed on a published case study. The experimental results are analyzed and compared in the form of Pareto fronts, average Pareto fronts, percent increase in resource utilization, percent decrease in project cost, and percent decrease in project duration. The experimental results show that MOPSO is the best technique for resource optimization because after optimization with MOPSO, resource utilization is increased and the project cost and duration are reduced.
Publisher: IEEE
Date: 2005
Publisher: IGI Global
Date: 2020
DOI: 10.4018/978-1-7998-3142-6.CH005
Abstract: This study takes on a course of “phenomenon before theory” approach. For that purpose, firstly, the phenomenon regarding knowledge transfer barriers is developed, and then it is confirmed through expert suggestions. Knowledge transfer theories from project management literature are then applied and systematically reviewed against observed phenomenon to obtain the desired solutions. The systematic review of knowledge transfer theories is conducted through content analysis. The observed gaps are then filled with pluralism with components of required theories. The findings were that the discussed theories are not fully mitigating the knowledge transfer hitches. The most important factor for competence development is effective learning during the knowledge transfer activities which has not been addressed by the knowledge transfer theories. The chapter proposes a “Pluralistic Learning Theory for Project Knowledge Transfer” as a practical solution for all sorts of business tourism activities to transfer knowledge effectively.
Publisher: Informa UK Limited
Date: 02-01-2017
Publisher: Elsevier BV
Date: 03-2022
Publisher: IEEE
Date: 06-2014
Publisher: Association for Computing Machinery (ACM)
Date: 11-02-2014
Abstract: Regression Test Suite Optimization (RTO) is an active research area. A Regression Test Suite is always growing due to changes in software, which increases testing time. To save time and resources optimization of regression test suites is mandatory. Researchers have optimized test suites using conventional and Computational Intelligence based approaches and achieve optimization of regression test suites through selection techniques, minimization or reduction techniques and ranking or prioritization techniques. This paper surveys existing techniques for regression test suite optimization, various tools and mathematical models being used for RTO. During this survey we found many interesting facts about regression test suite optimization that will be shared in the conclusion.
Publisher: EJournal Publishing
Date: 2016
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 17-05-2022
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 10-2010
Publisher: Walter de Gruyter GmbH
Date: 04-2016
Abstract: Regression testing is a type of testing activity, which ensures that source code changes do not affect the unmodified portions of the software adversely. This testing activity may be very expensive in, some cases, due to the required time to execute the test suite. In order to execute the regression tests in a cost-effective manner, the optimization of regression test suite is crucial. This optimization can be achieved by applying test suite reduction (TSR), regression test selection (RTS), or test case prioritization (TCP) techniques. In this paper, we designed and implemented an expert system for TSR problem by using neuro-fuzzy modeling-based approaches known as “adaptive neuro-fuzzy inference system with grid partitioning” (ANFIS-GP) and “adaptive neuro-fuzzy inference system with subtractive clustering” (ANFIS-SC). Two case studies were performed to validate the model and fuzzy logic, multi-objective genetic algorithms (MOGAs), non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) algorithms were used for benchmarking. The performance of the models were evaluated in terms of reduction of test suite size, reduction in fault detection rate, reduction in test suite execution time, and reduction in requirement coverage. The experimental results showed that our ANFIS-based optimization system is very effective to optimize the regression test suite and provides better performance than the other approaches evaluated in this study. Size and execution time of the test suite is reduced up to 50%, whereas loss in fault detection rate is between 0% and 25%.
Publisher: Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi
Date: 11-04-2018
Abstract: Software maintenance is a time taking activity in the real world. Execution time of software maintenance process may get increased due to interdepartmental communication, thus, increasing the cost and decreasing the performance of the process. We suggested performance evaluation of software maintenance process through the transformation of activity diagram into generalised stochastic Petri nets (GSPN). For this study, execution time and cost of maintenance process are defined as performance measures, and the role-based approach is used to understand the flow of software maintenance activities in a software organisation. Activity diagram is constructed to be transformed into GSPN. We used PIPE2 to analyse the GSPN. PIPE2 calculates average number of tokens on a place in the GSPN, throughput of timed transition and state space analysis. State space involves calculation of the reachability of the GSPN net that shows whether a GSPN holds the property of safeness, boundness and is deadlock free. Keywords: Generalised stochastic Petri nets (GSPN), GSPN analysis, performance evaluation, performance modelling, software maintenance process, stochastic Petri nets.
Publisher: MDPI AG
Date: 03-02-2022
DOI: 10.3390/SU14031749
Abstract: This study introduces a new approach for the competence development of the socio-technical aspect. The curriculum of the Project Management (PM) course taught in degree programs concentrates largely on imparting technical knowledge. Current research seeks to direct the attention of the PM curriculum towards Personal Competencies as well. PM studies not only require a project to be carried out successfully but also expect students to demonstrate certain personal competencies, behaviors, and traits to effectively lead the project team. This research seeks to inform action and yield pertinent knowledge and instructional material around the desired personal competence. This study adopts an exploratory and (educational) action research approach with a quantitative mode of inquiry. The first of the four phases of this study comprises an action-based approach to find out which Personal Competence is essential for PM students. The second phase is of further follow-ups with the research subjects that indicate their lack of understanding of the PM personal competencies. The next phase employs a second survey showing that the Communication Skills of research subjects need work. The last phase offers a comprehensive training plan around the required competence, a training evaluation tool, a competence assessment exam, and tools for training and trainer feedback. The findings of this research bear immense implications for PM competence building and curriculum. The practical contribution of the study offers a way to prepare the graduates for ready employability.
Publisher: Springer Science and Business Media LLC
Date: 02-02-2023
Publisher: IEEE
Date: 09-2014
Publisher: IGI Global
Date: 2020
DOI: 10.4018/978-1-7998-3016-0.CH091
Abstract: Global software development, an emerging software development methodology within a technology-enabled environment has recently received increased attention from scholars and practitioners. Despite the fact that the lack of effective communication is a major challenge of globally distributed teams, communication research related to the scale development is still very limited in existing literature. Considering the communication challenges and increasing need to measure the effectiveness of communication, this research is focused to develop a scale for “Effective Communication” for globally distributed software development teams. Systematic literature review is performed to identify the best practices of effective communication for the development of “Effective Communication” scale. A questionnaire survey consisting of 29 items is administered in globally distributed software development teams. Confirmatory factor analysis and statistical results depicted that the four-factor model (e.g. stakeholders' involvement, acculturation, usage of appropriate tools and technology, and information availability) is more parsimonious and an optimal model fit.
Publisher: IEEE
Date: 11-2013
Publisher: MDPI AG
Date: 03-06-2020
DOI: 10.3390/SU12114544
Abstract: There is a pressing need for public administration leaders to exhibit expertise-based intuitive leadership traits for developing countries to respond to sustainability challenges. While the importance of explicit and tacit knowledge to underpin expertise-based intuitive decision-making is known, public service leaders of developing countries can lack these traits. It is necessary to explore the reasons for leadership skills gaps in order to define remedial actions, such as better executive development training. This study conducts 28 in-depth interviews with public administration leaders, managers, and executive training professionals in Pakistan to address the challenge of how to build expertise-based intuitive leadership traits in public administration leaders. The main findings highlight deficiencies in domain-specific knowledge and soft skills. Deficits in the formal training of leaders and the negative contribution of cultural preconditions both result in explicit and tacit knowledge gaps that undermine expertise-based intuitive decision-making. An “iceberg of expertise-based leadership” model is conceptualized, extending on previous models, to describe the intangible role that explicit and tacit knowledge play in the visible expression of leadership skills. The relevance of this model for the success of public sector-led initiatives for sustainable development is highlighted.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Association for Computing Machinery (ACM)
Date: 29-03-2014
Abstract: Software Engineering (SE) is a new field compared to other sciences. The term Software Engineering first appeared in late 1950s. SE from its beginning has been continuously in the process of evolution. New approaches, methods, tools and techniques are introduced frequently. The future of Software Engineering is a hot topic and every year many publications discuss the same. The focus of this paper is to explore subareas of SE, predict the possible future of SE and provide a guide to practitioners to choose their careers according to the evolution of SE.
Publisher: IEEE
Date: 12-2015
Publisher: EJournal Publishing
Date: 04-2015
Publisher: IEEE
Date: 03-2018
Publisher: IEEE
Date: 06-2012
No related grants have been discovered for Ali Ahsan.