Genetic algorithm based probabilistic model for agile project success in global software development

Shameem, Mohammad; Nadeem, Mohammad; Zamani, Abu Taha

doi:10.1016/j.asoc.2023.109998

Cited by 14 publications

(9 citation statements)

References 51 publications

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“…For instance, Shameem et al (2023) conducted a study to address the complexity and risks associated with implementing agile methods across globally distributed software development teams. By leveraging a genetic algorithm, the authors have presented a predictive model that assesses the probability of agile project success while considering cost factors.…”

Section: Genetic Algorithm-based Probabilistic Modelsmentioning

confidence: 99%

Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

Khan,

Akbar,

Lahtinen

et al. 2024

Autom Softw Eng

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Quantum software systems represent a new realm in software engineering, utilizing quantum bits (Qubits) and quantum gates (Qgates) to solve the complex problems more efficiently than classical counterparts. Agile software development approaches are considered to address many inherent challenges in quantum software development, but their effective integration remains unexplored. This study investigates key causes of challenges that could hinders the adoption of traditional agile approaches in quantum software projects and develop an Agile-Quantum Software Project Success Prediction Model (AQSSPM). Firstly, we identified 19 causes of challenging factors discussed in our previous study, which are potentially impacting agile-quantum project success. Secondly, a survey was conducted to collect expert opinions on these causes and applied Genetic Algorithm (GA) with Naive Bayes Classifier (NBC) and Logistic Regression (LR) to develop the AQSSPM. Utilizing GA with NBC, project success probability improved from 53.17 to 99.68%, with cost reductions from 0.463 to 0.403%. Similarly, GA with LR increased success rates from 55.52 to 98.99%, and costs decreased from 0.496 to 0.409% after 100 iterations. Both methods result showed a strong positive correlation (rs = 0.955) in causes ranking, with no significant difference between them (t = 1.195, p = 0.240 > 0.05). The AQSSPM highlights critical focus areas for efficiently and successfully implementing agile-quantum projects considering the cost factor of a particular project.

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Section: Genetic Algorithm-based Probabilistic Modelsmentioning

confidence: 99%

Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

Khan,

Akbar,

Lahtinen

et al. 2024

Autom Softw Eng

View full text Add to dashboard Cite

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“…Agile Frameworks and Processes. A significant number of articles underscored the importance of Agile frameworks in project risk management, promoting iterative development and adaptability [2], [28], [29]. These frameworks, such as Scrum, were observed as enhancing the agility and risk responsiveness of organizations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The research presents a quantitative model that factors in project uncertainties and enhances risk management. It addresses the increased complexity and risks inherent in global software development projects, where distributed teams, cultural differences, and time zones introduce additional challenges [2], [29].…”

Section: Literature Reviewmentioning

confidence: 99%

The Importance of Continuous Organizational Project Risk Management and the Value of Project Management Certificates in the Customers’ Eyes

Simon,

Reicher

2024

IJEMS

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In an increasingly complex and volatile business environment, organizational project risk management plays a critical role in determining the chances of project success. Project management has become a common tool in the hands of large organizations for executing development and improving their production cycles in a more carefully planned way. However, the future is often hard to predict, and unexpected events may occur which could have been avoided with the use of the right tools and mindset. This comprehensive research study aims to showcase the importance of continuous risk management in organizations and highlight how risk management contributes to successful project outcomes. By synthesizing information from 59 high-quality publications from Scopus and Web of Science, the research describes various risk mitigation methodologies used across diverse fields, and explores potential obstacles faced by project managers when executing risk management strategies. The primary research of the study builds upon a survey conducted with 181 experienced project managers across various industries to gain deeper insights into their risk management approaches and the constraints they may encounter. Additionally, the study seeks to analyse the value of obtaining project management certificates in relationship with led projects’ length and budget. Employing SPSS, the research presents descriptive statistics, regression, and correlation calculations to further analyse the data gathered. The aim of the research is to draw attention to the significance of continuous risk management, propose effective methodologies, identify and mitigate potential challenges, and shed light on the potential benefits of having certifications in the field of project management. This study aims to present valuable knowledge for both researchers and organizations striving to better understand the field of project risk management strategies through the systematic literature review and quantitative research results presented.

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“…44,45 On the other hand, communication efficiency is described as the ability to transmit a message to a recipient with good quality while using the least amount of time, money, resources, and effort possible. 45,46 The definitions of these two aspects of GDAD communication will be used to interpret the findings of this paper.…”

Section: Providing Information To Another Person Who Interprets It As...mentioning

confidence: 99%

“…Providing information to another person who interprets it as intended with little disturbance and confusion is characterized as communication effectiveness 44,45 . On the other hand, communication efficiency is described as the ability to transmit a message to a recipient with good quality while using the least amount of time, money, resources, and effort possible 45,46 . The definitions of these two aspects of GDAD communication will be used to interpret the findings of this paper.…”

Section: Background and Related Workmentioning

confidence: 99%

Enterprise architecture contribution in distributed agile software development

Alzoubi,

Mishra

2023

Systems Engineering

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Geographically distributed agile development may experience a high failure rate due to communication issues, which has a negative influence on project performance. One suggested solution in the literature is to enhance both communication and project performance by implementing agile enterprise architecture. However, the empirical evidence that supports this claim is still scarce. To address this gap, this study empirically explores the role of agile enterprise architecture as an artifact in distributed agile development. The findings of an in‐depth qualitative case study from a dispersed agile development organization that involves teams distributed over three locations are used in this work. Over 2 months, data was gathered by interviewing 12 key members of the team and watching three Sprint sessions of agile software development. Text analysis qualitative approach was used to analyze the data. The findings imply that agile enterprise architecture has a positive effect on distributed agile software development communication, quality, and functionality. Agile enterprise architecture may also support on‐time completion, but a trade‐off with on‐budget may be necessary. These findings provide valuable insights, frameworks, and best practices that support organizations in achieving greater agility, collaboration, and success in their distributed software development initiatives. As this is one of the first studies to look at the influence of agile enterprise architecture on distributed agile software development communication and performance, further research is needed to confirm and expand on the conclusions of this study.

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Genetic algorithm based probabilistic model for agile project success in global software development

Cited by 14 publications

References 51 publications

Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

The Importance of Continuous Organizational Project Risk Management and the Value of Project Management Certificates in the Customers’ Eyes

Enterprise architecture contribution in distributed agile software development

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