{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:27:29Z","timestamp":1742912849032,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030312794"},{"type":"electronic","value":"9783030312800"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-31280-0_14","type":"book-chapter","created":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T23:06:50Z","timestamp":1570489610000},"page":"234-241","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DYNAMOJM: A JMeter Tool for Performance Testing Using Dynamic Workload Adaptation"],"prefix":"10.1007","author":[{"given":"Osvaldo","family":"Huerta-Guevara","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vanessa","family":"Ayala-Rivera","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liam","family":"Murphy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. Omar","family":"Portillo-Dominguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,8]]},"reference":[{"key":"14_CR1","unstructured":"Apache JMeter. http:\/\/jmeter.apache.org\/"},{"key":"14_CR2","unstructured":"Dacapo benchmark suite. http:\/\/dacapobench.org\/"},{"key":"14_CR3","unstructured":"HP Loadrunner. https:\/\/ssl.www8.hp.com\/sg\/en\/ad\/load-runner\/load-runner.html"},{"key":"14_CR4","unstructured":"Ibm rational performance tester. https:\/\/www.ibm.com\/us-en\/marketplace\/ibm-rational-performance-tester"},{"key":"14_CR5","unstructured":"IBM WAIT Tool. https:\/\/publib.boulder.ibm.com\/httpserv\/cookbook\/Major_Tools-IBM_WholeSystem_Analysis_Tool_WAIT.html"},{"key":"14_CR6","unstructured":"New relic. https:\/\/newrelic.com"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Ayala-Rivera, V., Kaczmarski, M., Murphy, J., Darisa, A., Portillo-Dominguez, A.O.: One size does not fit all. In: Proceedings of the 2018 ACM\/SPEC International Conference on Performance Engineering - ICPE 2018, pp. 211\u2013222. ACM Press, New York (2018)","DOI":"10.1145\/3184407.3184418"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Conley, M., Vahdat, A., Porter, G.: Achieving cost-efficient, data-intensive computing in the cloud. In: SoCC 2015, pp. 302\u2013314. ACM (2015)","DOI":"10.1145\/2806777.2806781"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Grechanik, M., Luo, Q., Poshyvanyk, D., Porter, A.: Enhancing rules for cloud resource provisioning via learned software performance models. In: Proceedings of the 7th ACM\/SPEC on International Conference on Performance Engineering - ICPE 2016, pp. 209\u2013214. ACM Press, New York (2016)","DOI":"10.1145\/2851553.2851568"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, Z.M., Ming, Z.: Automated analysis of load testing results. In: Proceedings of the 19th International Symposium on Software Testing and Analysis - ISSTA 2010, p. 143. ACM Press, New York (2010)","DOI":"10.1145\/1831708.1831726"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Kaczmarski, M., Perry, P., Murphy, J., Portillo-Dominguez, A.O.: In-test adaptation of workload in enterprise application performance testing. In: 8th ACM\/SPEC on ICPE 2017 Companion, pp. 69\u201372. ACM Press (2017)","DOI":"10.1145\/3053600.3053614"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Luo, Q., Poshyvanyk, D., Nair, A., Grechanik, M.: Forepost: a tool for detecting performance problems with feedback-driven learning software testing. In: Proceedings of the 38th International Conference on Software Engineering Companion, pp. 593\u2013596. ACM (2016)","DOI":"10.1145\/2889160.2889164"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Ma\u00e2lej, A.J., Hamza, M., Krichen, M.: WSCLT: a tool for WS-BPEL compositions load testing. In: 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 272\u2013277. IEEE (2013)","DOI":"10.1109\/WETICE.2013.71"},{"issue":"11","key":"14_CR14","doi-asserted-by":"publisher","first-page":"1837","DOI":"10.1002\/spe.2500","volume":"47","author":"AO Portillo-Dominguez","year":"2017","unstructured":"Portillo-Dominguez, A.O., Perry, P., Magoni, D., Murphy, J.: PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems. Softw. Pract. Exp. 47(11), 1837\u20131874 (2017)","journal-title":"Softw. Pract. Exp."},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Portillo-Dominguez, A.O., Wang, M., Murphy, J., Magoni, D.: Automated WAIT for cloud-based application testing. In: ICSTW (2014)","DOI":"10.1109\/ICSTW.2014.46"},{"key":"14_CR16","unstructured":"Portillo-Dom\u00ednguez, A.O., Murphy, J., O\u2019Sullivan, P.: Leverage of extended information to enhance the performance of JEE systems. The IT&T 11th International Conference on Information Technology and Telecommunication 2012, Cork, Ireland, 29\u201330 October 2012 (2012)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Reichelt, D.G., K\u00fchne, S.: Better early than never. In: Companion of the 2018 ACM\/SPEC International Conference on Performance Engineering - ICPE 2018, pp. 127\u2013130. ACM Press, New York (2018)","DOI":"10.1145\/3185768.3186289"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Reichelt, D.G., K\u00fchne, S.: How to detect performance changes in software history. In: Companion of the 2018 ACM\/SPEC International Conference on Performance Engineering - ICPE 2018, pp. 183\u2013188. ACM Press, New York (2018)","DOI":"10.1145\/3185768.3186404"},{"key":"14_CR19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.infsof.2018.06.015","volume":"103","author":"AB S\u00e1nchez","year":"2018","unstructured":"S\u00e1nchez, A.B., Delgado-P\u00e9rez, P., Segura, S., Medina-Bulo, I.: Performance mutation testing: hypothesis and open questions. Inf. Softw. Technol. 103, 159\u2013161 (2018)","journal-title":"Inf. Softw. Technol."},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Segura, S., Troya, J., Duran, A., Ruiz-Cortes, A.: Performance metamorphic testing: motivation and challenges. In: 2017 IEEE\/ACM 39th International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER) (2017)","DOI":"10.1109\/ICSE-NIER.2017.16"}],"container-title":["Lecture Notes in Computer Science","Testing Software and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31280-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:59:33Z","timestamp":1710363573000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-31280-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030312794","9783030312800"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31280-0_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICTSS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Testing Software and Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pts2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ictss2019.centralesupelec.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,1","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}