by Andreas Demuth, Markus Riedl-Ehrenleitner, Roland Kretschmer, Alexander Egyed
Abstract:
Today's software projects face an environment of continuous change and evolution. In order to handle evolution in development environments (e.g., requirements, technology) effectively, over the last decades well-established development processes have been adapted significantly and new process models have been proposed. For example, there is a wide range of agile processes which are risk-driven and which not only handle but embrace frequent change. However, agile and risk-driven processes still suffer from a lack of support for automatic and generic identification of certain risks. In this paper, we present an approach for automatic, finegrained identification of high-risk development artifacts and high-risk-areas within those artifacts that is easy to integrate with common development processes. The approach has been implemented in a proof-of-concept prototype. First validation results indicate that the approach is highly scalable and provides continuous feedback about a development project's technical risks.
Reference:
Towards Efficient Risk-identification in Risk-driven Development Processes (Andreas Demuth, Markus Riedl-Ehrenleitner, Roland Kretschmer, Alexander Egyed), In Proceedings of the International Conference on Software and Systems Process (ICSSP 2016) Austin, USA, 2016.
Bibtex Entry:
@Conference{DBLP:conf/ispw/DemuthRKE16,
author = {Andreas Demuth and Markus Riedl-Ehrenleitner and Roland Kretschmer and Alexander Egyed},
title = {Towards Efficient Risk-identification in Risk-driven Development Processes},
booktitle = {Proceedings of the International Conference on Software and Systems Process (ICSSP 2016) Austin, USA},
year = {2016},
pages = {36--40},
abstract = {Today's software projects face an environment of continuous change
and evolution. In order to handle evolution in development environments
(e.g., requirements, technology) effectively, over the last decades
well-established development processes have been adapted significantly
and new process models have been proposed. For example, there is
a wide range of agile processes which are risk-driven and which not
only handle but embrace frequent change. However, agile and risk-driven
processes still suffer from a lack of support for automatic and generic
identification of certain risks. In this paper, we present an approach
for automatic, finegrained identification of high-risk development
artifacts and high-risk-areas within those artifacts that is easy
to integrate with common development processes. The approach has
been implemented in a proof-of-concept prototype. First validation
results indicate that the approach is highly scalable and provides
continuous feedback about a development project's technical risks.},
bibsource = {dblp computer science bibliography, http://dblp.org},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/ispw/DemuthRKE16},
crossref = {DBLP:conf/ispw/2016},
doi = {10.1145/2904354.2904364},
file = {:Conferences\\ICSSP 2016 - Towards Efficient Risk-identification in Risk-Driven Development Processes\\Towards Efficient Risk-Identification in Risk-Driven Development Processes-preprint.pdf:PDF},
keywords = {FWF P25513, FWF P25289},
timestamp = {Mon, 23 May 2016 20:32:13 +0200},
url = {http://doi.acm.org/10.1145/2904354.2904364},
}