An investigation of the project management approaches of agile and plan-based companies

Khomyakov, Ilya; Mirgalimova, Ruzilya; Sillitti, Alberto

doi:10.1145/3341105.3374126

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Table 1, for example, highlights the importance of collaboration and communication to APM given the sheer number of studies that mentioned this as a success factor. Collaboration, specifically, is essential to project success [42], [45], [46], and requires maintaining group stability, commitment, and frequent communication [44]. In this case, communication is important not only in the context of the project but also in the client [41] and the vendor's project team [39].…”

Section: Teammentioning

confidence: 99%

Agile Project Management: A Systematic Literature Review of Adoption Drivers and Critical Success Factors

Noteboom

Ofori

Sutrave³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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With an emphasis on adaptive processes that respond to uncertainties, the Agile Project Management (APM) approach has evolved the way projects are managed beyond the traditional processes. This study aims to investigate recent literature on APM to discover the adoption drivers and the critical success factors that influence APM success and provide recommendations for the development of APM best practices. The study conducted a literature search on academic databases ABI/Inform, ACM Digital Library, EBSCO Host, and IEEE Xplore with keywords 'agile' and 'project management' for peer-reviewed English language articles published between January 2015 and January 2020 to discover insights regarding adoption drivers and critical success factors. Eleven (11) drivers of adoption and thirteen (13) critical success factors related to the project dimensions of Project, Team, and Culture were discovered. The findings of this study outline the current state of APM adoption and use and is relevant to project management practitioners and researchers.

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Section: Teammentioning

confidence: 99%

Agile Project Management: A Systematic Literature Review of Adoption Drivers and Critical Success Factors

Noteboom

Ofori

Sutrave³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

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“…Different cultures are now converging and interacting, and other religious systems intersect. This can include tax, technological, functional, corporate, or communicative relations [155].…”

Section: Recommendations For Management Software Processmentioning

confidence: 99%

Software Project Management Using Machine Learning Technique—A Review

et al. 2021

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Project management planning and assessment are of great significance in project performance activities. Without a realistic and logical plan, it isn’t easy to handle project management efficiently. This paper presents a wide-ranging comprehensive review of papers on the application of Machine Learning in software project management. Besides, this paper presents an extensive literature analysis of (1) machine learning, (2) software project management, and (3) techniques from three main libraries, Web Science, Science Directs, and IEEE Explore. One-hundred and eleven papers are divided into four categories in these three repositories. The first category contains research and survey papers on software project management. The second category includes papers that are based on machine-learning methods and strategies utilized on projects; the third category encompasses studies on the phases and tests that are the parameters used in machine-learning management and the final classes of the results from the study, contribution of studies in the production, and the promotion of machine-learning project prediction. Our contribution also offers a more comprehensive perspective and a context that would be important for potential work in project risk management. In conclusion, we have shown that project risk assessment by machine learning is more successful in minimizing the loss of the project, thereby increasing the likelihood of the project success, providing an alternative way to efficiently reduce the project failure probabilities, and increasing the output ratio for growth, and it also facilitates analysis on software fault prediction based on accuracy.

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Exploring the Evolutionary Characteristics of Project Management Approaches at Different Levels of Operations

Saleem

Mathrani

Sajjad

2021

2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)

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An investigation of the project management approaches of agile and plan-based companies

Cited by 3 publications

References 6 publications

Agile Project Management: A Systematic Literature Review of Adoption Drivers and Critical Success Factors

Agile Project Management: A Systematic Literature Review of Adoption Drivers and Critical Success Factors

Software Project Management Using Machine Learning Technique—A Review

Exploring the Evolutionary Characteristics of Project Management Approaches at Different Levels of Operations

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