%0 Conference Paper
%F Oral 
%T Indicating and Assessing Quality Criteria for Cause-Effect Models
%+ Warsaw University of Technology [Warsaw]
%+ Pentacomp Systemy Informatyczne S.A.
%A Chrząszcz, Jerzy
%Z Part 3: TRIZ: Expansion in Breadth and Depth
%< avec comité de lecture
%@ 978-3-030-86613-6
%3 Creative Solutions for a Sustainable Development
%B TRIZ Future conference
%C Bolzano, Italy
%Y Yuri Borgianni
%Y Stelian Brad
%Y Denis Cavallucci
%Y Pavel Livotov
%I Springer International Publishing
%S IFIP Advances in Information and Communication Technology
%V AICT-635
%P 220-232
%8 2021-09-22
%D 2021
%R 10.1007/978-3-030-86614-3_18
%K TRIZ
%K Cause-Effect Chains Analysis
%K Root Conflict Analysis
%K CECA
%K RCA+ 
%K Quality criteria
%K Formal language
%Z Computer Science [cs]Conference papers
%X It seems to be a common understanding in the TRIZ community that cause-effect models built for the same problems by different analysts may differ a lot and also that it requires some practice to build “good” cause-effect models. This paper aims at identifying reasonable quality criteria and feasible ways of applying them to models developed using Cause-Effect Chains Analysis (CECA) and Root Conflict Analysis (RCA+). The paper starts with considerations about human factors in causal modeling and a review of the relevant TRIZ literature. Then various approaches to quality are briefly presented, and the proposed assessment method is described. Although the most important semantic level has not been addressed, the rules of syntactical correctness have been formulated, which may be used for automated model validation in software applications.
%G English
%Z TC 5
%Z WG 5.4
%2 https://inria.hal.science/hal-04067829/document
%2 https://inria.hal.science/hal-04067829/file/513811_1_En_18_Chapter.pdf
%L hal-04067829
%U https://inria.hal.science/hal-04067829
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG5-4
%~ IFIP-AICT-635