Paper Info
Title
A Comparative Study of Compositional and Annotative Modelling Approaches for Software Process Lines
Abstract
This paper presents a comparative study of compositional and annotative modeling approaches for software process lines. In our comparative study, Open UP and Scrum based software process lines extracted from existing projects are modeled and implemented using an existing compositional approach -- EPF Composer, and an annotative approach -- GenArch-P, with the main aim to address a systematic variability management and automatic process derivation. In order to promote the analysis of the approaches were adapted some comparison criteria previously adopted in other studies. Our study results show that the annotative approach can bring many advantages to the modeling of software process lines considering our comparison criteria. On the other hand, our study also concludes that many existing compositional mechanisms should also be integrated with annotative approaches in order to improve the modularity of process elements associated to specific kinds of process variabilities.
Year
DOI
Venue
2012
10.1109/SBES.2012.11
Software Engineering
Keywords
Field
DocType
annotative modelling approaches,annotative approach,annotative modeling approach,existing compositional approach,process element,comparative study,software process lines,comparison criterion,automatic process derivation,software process line,study result,process variability,software process,visualization,systematics,measurement
Systems engineering,Software engineering,Computer science,Software,Software development process,Empirical process (process control model),Software verification and validation,Software construction,Goal-Driven Software Development Process,Software sizing,Reliability engineering,Software development
Conference
ISBN
Citations 
PageRank 
978-1-4673-4472-2
4
0.41
References 
Authors
8
5
Name
Order
Citations
PageRank
Fellipe Araújo Aleixo1354.19
Marilia Freire240.41
Daniel Alencar da Costa311912.21
Edmilson Campos Neto4344.74
Uira Kulesza52199.07