2012
DOI: 10.1016/j.infsof.2012.01.002
|View full text |Cite
|
Sign up to set email alerts
|

Design and implementation of a harmony-search-based variable-strength t-way testing strategy with constraints support

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
110
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 128 publications
(110 citation statements)
references
References 36 publications
0
110
0
Order By: Relevance
“…The IPO algorithm generates all t-sets for the first t factors and then incrementally expands the solution, both horizontally and vertically, until the array is complete [11]. Metaheuristic algorithms include tabu search [6], simulated annealing [12], ant colony optimization (ACO) [13], particle swarm optimization (PSO) [14,15], GA [16][17][18][19][20][21][22], Harmony Search [23,24], etc. The hybrid approach combines different methods to efficiently generate a small test suite.…”
Section: Related Workmentioning
confidence: 99%
“…The IPO algorithm generates all t-sets for the first t factors and then incrementally expands the solution, both horizontally and vertically, until the array is complete [11]. Metaheuristic algorithms include tabu search [6], simulated annealing [12], ant colony optimization (ACO) [13], particle swarm optimization (PSO) [14,15], GA [16][17][18][19][20][21][22], Harmony Search [23,24], etc. The hybrid approach combines different methods to efficiently generate a small test suite.…”
Section: Related Workmentioning
confidence: 99%
“…Example strategies that adopt this approach includes An Automatic Efficient Test Generator (AETG) (Cohen, Dalal et al 1996;Cohen, Dalal et al 1997), its variant (mAETG) , PICT [8,36], IPOG (Lei, Kacker et al 2007), Jenny (Pallas 2003), TVG (Yu-Wen and Aldiwan 2000; Arshem 2010), IRPS , GTWay (Klaib 2009;Zamli, Klaib et al 2011), MIPOG Younis and Zamli 2010), TConfig (Williams 2000;Williams 2010), TCG (Tung and Aldiwan 2000)). Another variant of the computational based approach is based on meta-heuristics algorithm including that of GA (Shiba, Tsuchiya et al 2004), HSS (Alsewari and Zamli 2012), PSTG Ahmed and Zamli 2011;Ahmed, Zamli et al 2012), SA (Stardom 2001;Cohen, Colbourn et al 2008), and ACA (Shiba, Tsuchiya et al 2004)). Although useful to help test engineers sample combinatorial test suite, the support for constraints within the aforementioned strategies have not been sufficiently considered.…”
Section: Related Workmentioning
confidence: 99%
“…In fact, there has been only a handful of strategies address the constraints support including that of IPOG (Lei, Kacker et al 2007), PICT [8,36], TestCover(Sherwood. 2006), HSS (Alsewari and Zamli 2012), SA_SAT (Cohen, Dwyer et al 2007), mAETG_SAT (Cohen, Dwyer et al 2007) and GVS_CONST(R.R. Othman, N. Khamis et al).…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations