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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04596naa a2200625 4500 | |
| 001 | oai:DiVA.org:ri-52628 | |
| 003 | SwePub | |
| 008 | 210325s2022 | |||||||||||000 ||eng| | |
| 009 | oai:DiVA.org:mdh-47471 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-526282 URI |
| 024 | 7 | a https://doi.org/10.1007/s11219-020-09532-z2 DOI |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-474712 URI |
| 040 | a (SwePub)rid (SwePub)mdh | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Helali Moghadam, Mahshidu Mälardalens högskola,RISE,Industriella system,Mälardalen University, Sweden,Inbyggda system,RISE Research Institutes of Sweden,Software Testing Lab4 aut0 (Swepub:mdh)mhi05 |
| 245 | 1 0 | a An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning |
| 264 | c 2021-03-10 | |
| 264 | 1 | b Springer,c 2022 |
| 338 | a print2 rdacarrier | |
| 500 | a Funding text 1: This work has been supported by and received funding partially from the TESTOMAT, XIVT, IVVES and MegaM@Rt2 European projects. | |
| 520 | a Test automation brings the potential to reduce costs and human effort, but several aspects of software testing remain challenging to automate. One such example is automated performance testing to find performance breaking points. Current approaches to tackle automated generation of performance test cases mainly involve using source code or system model analysis or use-case-based techniques. However, source code and system models might not always be available at testing time. On the other hand, if the optimal performance testing policy for the intended objective in a testing process instead could be learned by the testing system, then test automation without advanced performance models could be possible. Furthermore, the learned policy could later be reused for similar software systems under test, thus leading to higher test efficiency. We propose SaFReL, a self-adaptive fuzzy reinforcement learning-based performance testing framework. SaFReL learns the optimal policy to generate performance test cases through an initial learning phase, then reuses it during a transfer learning phase, while keeping the learning running and updating the policy in the long term. Through multiple experiments in a simulated performance testing setup, we demonstrate that our approach generates the target performance test cases for different programs more efficiently than a typical testing process and performs adaptively without access to source code and performance models. © 2021, The Author(s). | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng |
| 653 | a Autonomous testing | |
| 653 | a Performance testing | |
| 653 | a Reinforcement learning | |
| 653 | a Stress testing | |
| 653 | a Test case generation | |
| 653 | a Automation | |
| 653 | a Computer programming languages | |
| 653 | a Testing | |
| 653 | a Transfer learning | |
| 653 | a Automated generation | |
| 653 | a Optimal performance | |
| 653 | a Performance Model | |
| 653 | a Performance testing framework | |
| 653 | a Performance tests | |
| 653 | a Simulated performance | |
| 653 | a Software systems | |
| 653 | a Software testing | |
| 653 | a Computer Science | |
| 700 | 1 | a Saadatmand, Mehrdad,d 1980-u Mälardalens högskola,RISE,Industriella system,Inbyggda system,RISE Research Institutes of Sweden4 aut0 (Swepub:mdh)msd03 |
| 700 | 1 | a Borg, Markusu RISE,Mobilitet och system,RISE Research Institutes of Sweden4 aut0 (Swepub:ri)markus.borg@ri.se |
| 700 | 1 | a Bohlin, Markus,d 1976-u Mälardalen University, Sweden,Mälardalens universitet, Innovation och produktrealisering4 aut0 (Swepub:mdh)mbn05 |
| 700 | 1 | a Lisper, Björnu Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)blr01 |
| 710 | 2 | a RISEb Industriella system4 org |
| 773 | 0 | t Software quality journald : Springerg , s. 127-159q <127-159x 0963-9314x 1573-1367 |
| 856 | 4 | u https://doi.org/10.1007/s11219-020-09532-zy Fulltext |
| 856 | 4 | u https://link.springer.com/content/pdf/10.1007/s11219-020-09532-z.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-52628 |
| 856 | 4 8 | u https://doi.org/10.1007/s11219-020-09532-z |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-47471 |
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