Domain-Based Ranking of Software Test—Effort Estimation Techniques for Academic Projects

Saini, Jatinderkumar R.; Chomal, Vikas S.

doi:10.1007/978-981-15-0936-0_5

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Chatzoglou and Macaulay [9] in their research work proposed and developed a new model called MARCS which was used to provide predictions for resources required during software development process. Additionally, a team-building model for the software projects [33] as well as effort estimation models [34] [35] have also been proposed by the researchers.…”

Section: Literature Reviewmentioning

confidence: 99%

On Effort Distribution in Software Project Development for Academic Domain

Saini,

Chomal

2020

IJEAT

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Effort distribution in software engineering is a well-known term used to measure cost and effort estimation for each and every phase or activity in software development. Effort distribution is taken in consideration in almost all IT companies while developing software. But it is mostly not considered or overlooked in developing academic software projects by students of computer science courses. The paper presents with results of an experimentation on phase effort distribution data of 84 software academic projects of post graduate final year students of computer science. The phase effort distribution provided by students were collected, analyzed and compared with COCOMO II model which provides effort distribution required in software development. Finally, this paper also discusses and provides recommendation about the use and importance of effort distribution in academic software projects development.

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Section: Literature Reviewmentioning

confidence: 99%

On Effort Distribution in Software Project Development for Academic Domain

Saini,

Chomal

2020

IJEAT

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“…Through this project development, practical knowledge of software development is imparted to students. During academic software project development students are provided with strict guidelines as well as instructed to mandatorily execute all the phases of system development life cycle [5] [6]. One of the universal observations found in academic software project development is failure of students to accomplish software project development within a predetermined timeframe.…”

Section: Introductionmentioning

confidence: 99%

4PCDT: A Quantifiable Parameter-based Framework for Academic Software Project Management

Chomal¹,

Saini²,

Gaikwad³

et al. 2022

IJACSA

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Many authorities like Project Management Body of Knowledge (PMBOK) and Capability Maturity Model Integration for Development (CMMI-Dev) lend a hand to software development organizations in management of their crucial projects. Though this area needs focused research, such models are not dedicatedly available for the academic projects developed by students of computer science and engineering where software project development is considered as one of the criteria for the award of degree to the future professionals of the IT industry. With this motivation, we explored 4PTRB, 3PR and software project management practices, approaches as well processes framed and provided by PMBOK and CMMI-Dev. The main aim of this research is to introduce and propose a software project management framework for the academic domain. The proposed framework contains identification and description of 7 and 26 quantifiable parameters and sub-parameters respectively .The framework is called 4PCDT for People, Process, Product, Project, Complexity, Duration and Technology for the academic software projects. To validate the proposed framework, an online survey of 113 faculties was conducted to rank and weigh the quantifiable parameters. The results show that People, Process and Technology management parameters are top 3 ranked parameters. The robustness of the approach is further evident from the results of experimentation on 18 actual academic software projects of final year post graduate students of the IT domain.Not only the proposed work is first of its kind, but also it is bound to generate an excellent ripple effect in the research community.

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Unveiling the Art of Software Testing Effort Estimation: An In-Depth Study of Current Techniques and their Analysis

Chahar,

Bhatia

2023

2023 International Conference on Advanced Computing &Amp; Communication Technologies (ICACCTech)

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Domain-Based Ranking of Software Test—Effort Estimation Techniques for Academic Projects

Cited by 3 publications

References 6 publications

On Effort Distribution in Software Project Development for Academic Domain

On Effort Distribution in Software Project Development for Academic Domain

4PCDT: A Quantifiable Parameter-based Framework for Academic Software Project Management

Unveiling the Art of Software Testing Effort Estimation: An In-Depth Study of Current Techniques and their Analysis

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