Paper Info
Title
Knowledge extraction of the behaviour of software developers by the analysis of time recording logs
Abstract
Software development project management has a poor reputation in terms of avoiding cost and schedule overruns. The cause of this situation is based on the feature of the software development process that is characterized by quickly growing complexity and change. Therefore, there are many uncertainties to define exactly the necessary time to complete a tasks according to the person's performance. In this scenario Soft-Computing techniques may offer new approaches with the aim of helping the participants of the project to manage their time, give priority to their activities and readjust the work to complete satisfactorily the project tasks. This work presents an automatic features extraction process with the aim of defining the elements involved in a software project. This knowledge is represented by means fuzzy sets and fuzzy prototypes. The source of data is the Personal Software Project time recording logs. A preliminary experiment illustrates the feasibility of this approach.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584364
Fuzzy Systems
Keywords
Field
DocType
knowledge acquisition,project management,software management,knowledge extraction,personal software project,project management,soft computing techniques,software development process,time recording logs analysis
Computer science,Project management triangle,Software development process,Artificial intelligence,Software development,Software sizing,Personal software process,Software engineering,Software project management,Software verification and validation,Team software process,Database,Machine learning
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4244-6919-2
1
PageRank 
References 
Authors
0.37
15
4
Name
Order
Citations
PageRank
Arturo Peralta161.48
Francisco P. Romero223527.46
José Angel Olivas36512.87
Macario Polo422426.56