We introduce a variability-intensive approach to goal decomposition,
which enables the identification of more complete requirements for
customizable software. The approach is based on the semantic characterization
of ORdecompositions of goals. We first show that each high-level
goal can be associated with a set of concerns in response to which
alternative refinements of the goal can be introduced. A text corpus
relevant to the domain of discourse can be used to derive such variability
concerns that are specific to the problem. In parallel, non-intentional
background facts that can vary while a goal is being fulfilled are
modeled. Then, a high-variability goal model is constructed aiming
at responding to the predefined variability concerns completely,
while non-intentional factors are used to test whether the result
addresses all realistic background circumstances. We apply our approach
in a study from the geriatric health care domain.
%0 Conference Paper
%1 liaskos06
%A Liaskos, Sotirios
%A Lapouchnian, Alexei
%A Yu, Yijun
%A Yu, Eric
%A Mylopoulos, John
%B Intl. Conf. Req. Engineering
%D 2006
%K goal variability
%T On Goal-based Variability Acquisition and Analysis
%U http://www.cs.toronto.edu/~jaranda/draftpapers/VarInt.pdf
%X We introduce a variability-intensive approach to goal decomposition,
which enables the identification of more complete requirements for
customizable software. The approach is based on the semantic characterization
of ORdecompositions of goals. We first show that each high-level
goal can be associated with a set of concerns in response to which
alternative refinements of the goal can be introduced. A text corpus
relevant to the domain of discourse can be used to derive such variability
concerns that are specific to the problem. In parallel, non-intentional
background facts that can vary while a goal is being fulfilled are
modeled. Then, a high-variability goal model is constructed aiming
at responding to the predefined variability concerns completely,
while non-intentional factors are used to test whether the result
addresses all realistic background circumstances. We apply our approach
in a study from the geriatric health care domain.
@inproceedings{liaskos06,
abstract = {We introduce a variability-intensive approach to goal decomposition,
which enables the identification of more complete requirements for
customizable software. The approach is based on the semantic characterization
of ORdecompositions of goals. We first show that each high-level
goal can be associated with a set of concerns in response to which
alternative refinements of the goal can be introduced. A text corpus
relevant to the domain of discourse can be used to derive such variability
concerns that are specific to the problem. In parallel, non-intentional
background facts that can vary while a goal is being fulfilled are
modeled. Then, a high-variability goal model is constructed aiming
at responding to the predefined variability concerns completely,
while non-intentional factors are used to test whether the result
addresses all realistic background circumstances. We apply our approach
in a study from the geriatric health care domain.},
added-at = {2006-09-18T06:26:07.000+0200},
author = {Liaskos, Sotirios and Lapouchnian, Alexei and Yu, Yijun and Yu, Eric and Mylopoulos, John},
biburl = {https://www.bibsonomy.org/bibtex/2828365e255d8ef8a076d827bfc60a6d4/neilernst},
booktitle = {Intl. Conf. Req. Engineering},
citeulike-article-id = {738306},
description = {Not previously uploaded},
interhash = {c1531273cae02f80574cd1e419b60917},
intrahash = {828365e255d8ef8a076d827bfc60a6d4},
keywords = {goal variability},
month = {September},
priority = {0},
timestamp = {2006-09-18T06:26:07.000+0200},
title = {On Goal-based Variability Acquisition and Analysis},
url = {http://www.cs.toronto.edu/~jaranda/draftpapers/VarInt.pdf},
year = 2006
}