DocumentCode :
1705634
Title :
An Investigation of Software Effort Phase Distribution Using Compositional Data Analysis
Author :
Chatzipetrou, Panagiota ; Papatheocharous, Efi ; Angelis, Lefteris ; Andreou, Andreas S.
Author_Institution :
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear :
2012
Firstpage :
367
Lastpage :
375
Abstract :
One of the most significant problems faced by project managers is to effectively distribute the project resources and effort among the various project activities. Most importantly, project success depends on how well, or how balanced, the work effort is distributed among the project phases. This paper aims to obtain useful information regarding the correlation of the composition of effort attributed in phases for around 1,500 software projects of the ISBSG R11 database based on a promising statistical method called Compositional Data Analysis (CoDA). The motivation for applying this analysis is the observation that certain types of project data (effort distributions and attributes) do not relate in a direct way but present a spurious correlation. Effort distribution is compared to the project life-cycle activities, organization type, language type, function points and other prime project attributes. The findings are beneficial for building a basis for software cost estimation and improving future empirical software studies.
Keywords :
data analysis; project management; software management; statistical analysis; CoDA; ISBSG R11 database; compositional data analysis; project managers; project resources; software effort phase distribution; software projects; statistical method; Correlation; Data analysis; Estimation; Organizations; Software; Testing; Vectors; compositional data analysis; phased effort analysis; software effort distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on
Conference_Location :
Cesme, Izmir
Print_ISBN :
978-1-4673-2451-9
Type :
conf
DOI :
10.1109/SEAA.2012.50
Filename :
6328177
Link To Document :
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