Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification

02/23/2021
by   Hongzhen Zhong, et al.
0

In goal-oriented requirements engineering, goal conflict identification is of fundamental importance for requirements analysis. The task aims to find the feasible situations which make the goals diverge within the domain, called boundary conditions (BCs). However, the existing approaches for goal conflict identification fail to find sufficient BCs and general BCs which cover more combinations of circumstances. From the BCs found by these existing approaches, we have observed an interesting phenomenon that there are some pairs of BCs are similar in formula structure, which occurs frequently in the experimental cases. In other words, once a BC is found, a new BC may be discovered quickly by slightly changing the former. It inspires us to develop a local search algorithm named LOGION to find BCs, in which the structural similarity is captured by the neighborhood relation of formulae. Based on structural similarity, LOGION can find a lot of BCs in a short time. Moreover, due to the large number of BCs identified, it potentially selects more general BCs from them. By taking experiments on a set of cases, we show that LOGION effectively exploits the structural similarity of BCs. We also compare our algorithm against the two state-of-the-art approaches. The experimental results show that LOGION produces one order of magnitude more BCs than the state-of-the-art approaches and confirm that LOGION finds out more general BCs thanks to a large number of BCs.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/12/2016

Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm

We consider a multi-neighborhood local search algorithm with a large num...
research
03/03/2021

How to Identify Boundary Conditions with Contrasty Metric?

The boundary conditions (BCs) have shown great potential in requirements...
research
04/06/2022

Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings

In Bayesian Network Structure Learning (BNSL), one is given a variable s...
research
03/24/2022

Identifying Boundary Conditions with the Syntax and Semantic Information of Goals

In goal-oriented requirement engineering, boundary conditions(BC) are us...
research
12/04/2019

A Probabilistic Approach to Satisfiability of Propositional Logic Formulae

We propose a version of WalkSAT algorithm, named as BetaWalkSAT. This me...
research
01/04/2021

Global2Local: Efficient Structure Search for Video Action Segmentation

Temporal receptive fields of models play an important role in action seg...
research
12/07/2016

Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints

This paper addresses the problem of human re-identification across non-o...

Please sign up or login with your details

Forgot password? Click here to reset