scholarly journals Longevity of risks in software development projects: a comparative analysis with an academic environment

2021 ◽  
Vol 181 ◽  
pp. 827-834
Author(s):  
Luís M. Alves ◽  
Gustavo Souza ◽  
Pedro Ribeiro ◽  
Ricardo J. Machado
Keyword(s):  
Comparative Analysis ◽  
Software Development ◽  
Development Projects ◽  
Academic Environment

Integrated Framework for Enhancing Software Development Methodologies With Comparative Analysis

2014 ◽  
Vol 14 (3) ◽  
Author(s):  
Vinod Vijayakumaran ◽  
G. Radhamani ◽  
P. Ranjit Jeba Thangaiah
Keyword(s):  
Comparative Analysis ◽  
Software Development ◽  
Six Sigma ◽  
Quality Standards ◽  
Lean Six Sigma ◽  
Quality Models ◽  
Integrated Framework ◽  
Standard Quality ◽  
It Organization ◽  
Software Development Methodologies

The delivery process of any IT organization depends on the effective software development methodologies. Along with conventional software development methodologies, corporates are also found to adopt various quality standards in order to enhance their development methodologies. Although there were substantial researches work carried out in past, majority of the study discusses about the theoretical implementation of quality standards. Due to various intermittent impediments, e.g., requirement volatility, skill gap, schedule slippage, etc., the standard quality models are very often violated in real time environment leading to degradation in development methodologies. Hence, this manuscript discusses an integrated framework using Scrum, Lean Six Sigma, and Agile which has been formulated on the basis on existing flaws in software development methodologies and propose some of the potential features to enhance it.

APPLYING EXPERT JUDGMENT TO IMPROVE AN INDIVIDUAL'S ABILITY TO PREDICT SOFTWARE DEVELOPMENT EFFORT

2012 ◽  
Vol 22 (04) ◽  
pp. 467-483 ◽  
Author(s):  
CUAUHTÉMOC LÓPEZ-MARTÍN ◽  
ALAIN ABRAN
Keyword(s):  
Software Development ◽  
Software Process ◽  
Development Effort ◽  
Academic Environment ◽  
Academic Institutions ◽  
Graduate Courses ◽  
Software Projects ◽  
Personal Software Process ◽  
Software Development Effort ◽  
Effort Prediction

Expert-based effort prediction in software projects can be taught, beginning with the practices learned in an academic environment in courses designed to encourage them. However, the length of such courses is a major concern for both industry and academia. Industry has to work without its employees while they are taking such a course, and academic institutions find it hard to fit the course into an already tight schedule. In this research, the set of Personal Software Process (PSP) practices is reordered and the practices are distributed among fewer assignments, in an attempt to address these concerns. This study involved 148 practitioners taking graduate courses who developed 1,036 software course assignments. The hypothesis on which it is based is the following: When the activities in the original PSP set are reordered into fewer assignments, the result is expert-based effort prediction that is statistically significantly better.

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