Paper Info
Title
A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors
Abstract
Software project managers are often faced with challenges when trying to effectively staff and schedule projects. Incorrectly planning and estimating the execution of tasks frequently causes software projects to be delivered late and/or over budget, whereas not selecting the appropriate developers to carry out tasks may produce lower-quality, defective software products. To combat these challenges, this paper presents IntelliSPM -- a tool aiming to support software project management activities consisting of several optimization mechanisms borrowed from the area of Computational Intelligence. The tool takes into account technical aspects but also significant human factors, which have been found to play a crucial role in software quality and developer productivity. The purpose of IntelliSPM is to offer suggestions to project managers containing a set of possible project schedules and staffing strategies that minimizes duration and maximizes resource usage. Several simulated and real-world projects were used during the validation process, with results showing that IntelliSPM is capable of providing that much-needed practical benefit to software companies to improve various aspects of development, such as performance and job satisfaction, whilst keeping within the general objectives and particular constraints of each software project.
Year
DOI
Venue
2012
10.1109/ICTAI.2012.45
ICTAI), 2012 IEEE 24th International Conference
Keywords
Field
DocType
DP industry,human factors,personnel,productivity,project management,scheduling,software management,software quality,software tools,IntelliSPM,computational intelligence,developer productivity,duration minimization,human factors,intelligent software project scheduling,intelligent software project staffing,job satisfaction,optimization mechanisms,personality factors,prototype tool,resource usage maximization,software project management activities,software quality,task execution estimation,task execution planning,validation process,genetic algorithms,particle swarm optimization,personality factors,software project staffing and scheduling
Software review,Computer science,Knowledge management,Project planning,Artificial intelligence,Personal software process,Package development process,Software project management,Software construction,Team software process,Machine learning,Process management,Social software engineering
Conference
Volume
ISSN
ISBN
1
1082-3409
978-1-4799-0227-9
Citations 
PageRank 
References 
4
0.38
18
Authors
3
Name
Order
Citations
PageRank
Constantinos Stylianou140.38
Simos Gerasimou240.72
Andreas S. Andreou321636.65