2019
DOI: 10.35940/ijeat.b4563.129219
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Machine Learning: A Software Process Reengineering in Software Development Organization

Abstract: BPR (Business Process Re-engineering) is an organizational mechanism that improves the organizational ability in responding to the challenges of qualitative result by change management and improvement in software engineering processes, productivity, product quality and competitive advantage. BPR inherits, explores and implements the building of process change, to incorporate enhancements to the essential considerations and protocols of (SEM) Software Engineering Management. Machine Learning (ML) can be the key… Show more

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Cited by 8 publications
(6 citation statements)
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“…Integration of Scrum with PLCF improves capabilities of organization towards adoptions of BPR in SEM. Existing project management tools are demanding integration of extended Scrum features with the help of AI (Artificial Intelligence) [14] based ML (Machine Learning) [12] technologies algorithms like k-means data clustering integration with Scrum tree [13] . Adoption of AI in SPM (Software Project Management) is increasing [14] for accurate and automated planning and scheduling of the estimation of project.…”
Section: Scrum and Bprmentioning
confidence: 99%
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“…Integration of Scrum with PLCF improves capabilities of organization towards adoptions of BPR in SEM. Existing project management tools are demanding integration of extended Scrum features with the help of AI (Artificial Intelligence) [14] based ML (Machine Learning) [12] technologies algorithms like k-means data clustering integration with Scrum tree [13] . Adoption of AI in SPM (Software Project Management) is increasing [14] for accurate and automated planning and scheduling of the estimation of project.…”
Section: Scrum and Bprmentioning
confidence: 99%
“…This question opens the door for next stage of research on agile integration of Scrum and Kanban [20] with traditional SDLC like Waterfall [24] as conceptual hybrid form of Software Engineering Framework (SEF). It"s also time to explore the scope of Artificial Intelligence (AI) [14] and Machine Learning (ML) [12] in Software Engineering Management (SEM) frameworks.…”
Section: Future Enhancementmentioning
confidence: 99%
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“…Process Life Cycle Framework (PLCF) [29] is a structural way for imitating agile transformation in software development practices. Along with this, technologies are emerging in the software development industries with the evolution of AI (Artificial Intelligence) [17] , [45] and ML (Machine Learning) [22] technologies. Hence their contribution to Software Engineering Management should be considerable with the ABPR by software development organizations.…”
Section: Introductionmentioning
confidence: 99%
“…Estimation of software development ensures cost (budget) and time limitation for building quality software [34] along with specification of functional and non-functional requirement of the project [35] . ABPR needs proper PLCF (Process Life Cycle Framework) [24] suitable to organizational structure using power of automation technologies like AI (Artificial Intelligence) [29] and ML (Machine Learning) [36] for Software Project Management (SPM) frameworks in software development organizations as the emergence of such automation technologies have capabilities to automate the project tasks and business operations as per organizational requirement [37] .…”
Section: Introductionmentioning
confidence: 99%