The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A systematic review of search-based testing for non-functional system properties
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Citations
Cites
Software Metrics: A Rigorous and Practical Approach
Fenton, N., & Pfleeger, S. L. (2013) · Cited by 2,509
Experimentation in Software Engineering: An Introduction
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., & Wesslén, A. (2011) · Lund University Publications (Lund University) · Cited by 2,214
Search‐based software test data generation: a survey
McMinn, P. (2004) · Software Testing, Verification and Reliability · doi:10.1002/stvr.294 · Cited by 1,368
(2004) · Lecture Notes in Computer Science · doi:10.1007/b98643 · Cited by 957
Search-based software engineering
Harman, M., & Jones, B. F. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00189-6 · Cited by 914
An approach for QoS-aware service composition based on genetic algorithms
Canfora, G., Di Penta, M., Esposito, R., & Villani, M. L. (2005) · Proceedings of the 7th annual conference on Genetic and evolutionary computation · doi:10.1145/1068009.1068189 · Cited by 912
Experimentation in software engineering: An introduction
(2000) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(00)90203-7 · Cited by 696
The Current State and Future of Search Based Software Engineering
Harman, M. (2007) · Future of Software Engineering (FOSE '07) · doi:10.1109/fose.2007.29 · Cited by 631
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
Kitchenham, B. A., Mendes, E., & Travassos, G. H. (2007) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.1001 · Cited by 424
Applying Systematic Reviews to Diverse Study Types: An Experience Report
Dyba, T., Dingsoyr, T., & Hanssen, G. K. (2007) · First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) · doi:10.1109/esem.2007.59 · Cited by 391
TimeAware test suite prioritization
Walcott, K. R., Soffa, M. L., Kapfhammer, G. M., & Roos, R. S. (2006) · Proceedings of the 2006 international symposium on Software testing and analysis · doi:10.1145/1146238.1146240 · Cited by 340
A Visual Text Mining approach for Systematic Reviews
Malheiros, V., Hohn, E., Pinho, R., Mendonca, M., & Maldonado, J. C. (2007) · First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) · doi:10.1109/esem.2007.21 · Cited by 329
Constructing test suites for interaction testing
Cohen, M. B., Gibbons, P. B., Mugridge, W. B., & Colbourn, C. J. (2003) · doi:10.5555/776816.776822 · Cited by 305
CHI '05 Extended Abstracts on Human Factors in Computing Systems
(2005) · doi:10.1145/1056808 · Cited by 276
Common Concepts Underlying Safety, Security, and Survivability Engineering
Firesmith, D. G. (2003) · KiltHub Repository · doi:10.1184/r1/6572621.v1 · Cited by 131
Common Concepts Underlying Safety Security and Survivability Engineering
Firesmith, D. G. (2003) · doi:10.21236/ada421683 · Cited by 125
Evolutionary software engineering, a review
Mantere, T. J., & Alander, J. T. (2004) · Applied Soft Computing · doi:10.1016/j.asoc.2004.08.004 · Cited by 102
The way forward for unifying dynamic test-case generation: The optimisation-based approach
Tracey, N. J., Clark, J. A., & Mander, K. C. (1998) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 76
Finding safety errors with ACO
Alba, E., & Chicano, F. (2007) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/1276958.1277171 · Cited by 72
A systematic mapping study on non-functional search-based software testing
Afzal, W., Torkar, R., & FELDT, R. H. (2008) · Cited by 38
Self-citationAutomatically Evading IDS Using GP Authored Attacks
Kayacık, H. G., Zincir-Heywood, N., & Heywood, M. I. (2007) · doi:10.1109/cisda.2007.368148 · Cited by 18
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The oracle problem in software testing: A survey
Barr, E. T., Harman, M., McMinn, P., Shahbaz, M., & Yoo, S. (2015) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2014.2372785 · Cited by 1,104
Machine Learning Testing: Survey, Landscapes and Horizons
Zhang, J. M., Harman, M., Ma, L., & Liu, Y. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2962027 · Cited by 897
An orchestrated survey of methodologies for automated software test case generation
Anand, S., Burke, E. K., Chen, T. Y., Clark, J., Cohen, M. B., Grieskamp, W., Harman, M., Harrold, M. J., McMinn, P., Bertolino, A., et al. (2013) · Journal of Systems and Software · doi:10.1016/j.jss.2013.02.061 · Cited by 668
Using mapping studies as the basis for further research – A participant-observer case study
Kitchenham, B. A., Budgen, D., & Pearl Brereton, O. (2011) · Information and Software Technology · doi:10.1016/j.infsof.2010.12.011 · Cited by 621
Software development in startup companies: A systematic mapping study
Paternoster, N., Giardino, C., Unterkalmsteiner, M., Gorschek, T., & Abrahamsson, P. (2014) · Information and Software Technology · doi:10.1016/j.infsof.2014.04.014 · Cited by 451
Metadata
- Authors
- Afzal, W., Torkar, R., & Feldt, R.
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 51
- Issue
- 6
- Pages
- 957-976
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2147826933
- Cited by
- 447
- References
- 21
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.