A Survey on Software Estimation Techniques in Traditional and Agile Development Models

Prakash, B. V. Ajay; Viswanathan, V.

doi:10.11591/ijeecs.v7.i3.pp867-876

Cited by 11 publications

(6 citation statements)

References 36 publications

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“…This method offers flexibility and simplicity to this system developer in upgrading the system when compared to the traditional software development. According to [17], traditional process is consuming more time as it is using a step by step approach in which the requirements, design, construction and testing phases are performed one after another. However, agile processes are slowly replacing the traditional approach towards late 90s.…”

Section: Methodsmentioning

confidence: 99%

Accreditation document tracking system using Scrum approach

Salleh

Ujir

Sapawi

et al. 2020

IJERE

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Document tracking which involves recording and monitoring the movement of documents has been a time-consuming task for staff. Dislocation and overlooking of the timeline have always been the problems in document control. An effective tool such as a web-based system is the easiest way to be implemented in the workplace. The Accreditation Document Tracking System (ADTS) is designed to monitor the movement and timeline of the document from a department to another department throughout the accreditation process efficiently. The main objective of this project is to develop a system that can track the location of a document and its status of submission at every stage. This advantageous system is developed through scrum approach, which is the most widespread agile methodology used in the industry. It offers flexibility and simplicity to the system developer in upgrading the system. Furthermore, the Unified Modelling Language (UML) is used to describe the interaction between user and proposed system. UML consists of three visual diagrams: (i) Use case diagram, (ii) activity diagram, and (iii) sequence diagram. By following each stage of the diagrams, the proposed system is able to be developed in order to achieve the objective of this project within within the university as well Malaysian Qualification Agency (MQA) and Ministry of Higher Education (MOHE).

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Section: Methodsmentioning

confidence: 99%

Accreditation document tracking system using Scrum approach

Salleh

Ujir

Sapawi

et al. 2020

IJERE

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“…The changes at the small level are directly approved by the Product owner. Scrum projects warmly welcome the change of request at a small level but the change of request at a large level during the development process influence the cost estimation process and cause late delivery of the project [30][31][32].…”

Section: Change Of Requestmentioning

confidence: 99%

A software-based cost estimation technique in scrum using a developer's expertise

Butt

Khalid²,

Ercan³

et al. 2022

Advances in Engineering Software

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“…The input refers to the projected need to establish modern project control models and IT resources that involve ML-based frameworks and information imprecision care, vagueness, or ambiguity by the main measures of success that is linked to the entire fields of knowledge. The introduction of modern learning assessment libraries and open-source development frameworks for project management opens up an area of study that is relevant to the technical convergence of IT resources [156,157].…”

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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A Survey on Software Estimation Techniques in Traditional and Agile Development Models

Cited by 11 publications

References 36 publications

Accreditation document tracking system using Scrum approach

Accreditation document tracking system using Scrum approach

A software-based cost estimation technique in scrum using a developer's expertise

Software Project Management Using Machine Learning Technique—A Review

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