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methodandsystemfordecomposingsuperimposedgroundreactionforcesintoindividualforceprofiles PATENT 2017 Raison, M. (2017). <i>Method and system for decomposing superimposed ground reaction forces into individual force profiles </i>(Brevet n° US 9 ...
https://www.polymtl.ca/recap/content/method-and-system-decomposing-superimposed-ground-reaction-forces-individual-force-profilesPortail Poly
decompositionoftheverticalgroundreactionforcesduringgaitonasingleforceplate JOURNAL 2013 Ballaz, L., Raison, M. & Detrembleur, C. (2013). Decomposition of the Vertical Ground Reaction Forces During Gait on a Single Force Plate. <i>Journal of ...
https://www.polymtl.ca/recap/content/decomposition-vertical-ground-reaction-forces-during-gait-single-force-platePortail Poly
methodologyfortheassessmentofjointeffortsduringsittostandmovement CHAPTER 2012 Raison, M., Laitenberger, M., Sarcher, A., Detrembleur, C., Samin, J.-C. & Fisette, P. (2012). Methodology for the assessment of joint efforts during sit to stand movem ...
https://www.polymtl.ca/recap/content/methodology-assessment-joint-efforts-during-sit-stand-movementPortail Poly
aqualitativestudyofthebenefitsandcostsofloggingfromdevelopersperspectives JOURNAL 2021 Li, H., Shang, W., Adams, B., Sayagh, M. & Hassan, A.E. (2021). A qualitative study of the benefits and costs of logging from developers' perspectives. < ...
https://www.polymtl.ca/moose/content/qualitative-study-benefits-and-costs-logging-developers-perspectivesPortail Poly
usingblackboxperformancemodelstodetectperformanceregressionsundervaryingworkloadsanempiricalstudy JOURNAL 2020 Liao, L., Chen, J., Li, H., Zeng, Y., Shang, W., Guo, J., Sporea, C., Toma, A. & Sajedi, S. (2020). Using black-box performance models t ...
https://www.polymtl.ca/moose/content/using-black-box-performance-models-detect-performance-regressions-under-varying-workloads-empiricalPortail Poly
whichloglevelshoulddeveloperschooseforanewloggingstatement JOURNAL 2017 Li, H., Shang, W. & Hassan, A.E. (2017). Which log level should developers choose for a new logging statement? <i>Empirical Software Engineering, 22</i>(4), 1684-1 ...
https://www.polymtl.ca/moose/content/which-log-level-should-developers-choose-new-logging-statementPortail Poly
towardsjustintimesuggestionsforlogchanges JOURNAL 2017 Li, H., Shang, W., Zou, Y. & Hassan, A.E. (2017). Towards just-in-time suggestions for log changes. <i>Empirical Software Engineering, 22</i>(4), 1831-1865. Tiré de <A HREF=&quo ...
https://www.polymtl.ca/moose/content/towards-just-time-suggestions-log-changesPortail Poly
miningdevelopmentknowledgetounderstandandsupportsoftwareloggingpractices THESIS 2018 Li, H. (2018). <i>Mining development knowledge to understand and support software logging practices</i> (Thèse de doctorat). Tiré de <A HREF="http://h ...
https://www.polymtl.ca/moose/content/mining-development-knowledge-understand-and-support-software-logging-practicesPortail Poly
adoptingautonomiccomputingcapabilitiesinexistinglargescalesystemsanindustrialexperiencereport CONFERENCE 2018 Li, H., Chen, T.-H.P., Hassan, A.E., Nasser, M. & Flora, P. (2018). <i>Adopting Autonomic Computing Capabilities in Existing Large- ...
https://www.polymtl.ca/moose/content/adopting-autonomic-computing-capabilities-existing-large-scale-systems-industrial-experience-reportPortail Poly
studyingsoftwareloggingusingtopicmodels JOURNAL 2018 Li, H., Chen, T.-H.P., Shang, W. & Hassan, A.E. (2018). Studying software logging using topic models. <i>Empirical Software Engineering, 23</i>(5), 2655-2694. Tiré de <A HREF=&quo ...
https://www.polymtl.ca/moose/content/studying-software-logging-using-topic-modelsPortail Poly
predictingthereceiversoffootballpasses CONFERENCE 2018 Li, H. & Zhang, Z. (2018). <i>Predicting the receivers of football passes.</i> Communication présentée à Machine Learning and Data Mining for Sports Analytics (MLSA 2018), Dublin, ...
https://www.polymtl.ca/moose/content/predicting-receivers-football-passesPortail Poly
improvingthetestingefficiencyofseleniumbasedloadtests CONFERENCE 2019 Shariff, S.M., Li, H., Bezemer, C.-P., Hassan, A.E., Nguyen, T.H.D. & Flora, P. (2019). <i>Improving the testing efficiency of selenium-based load tests.</i> Communi ...
https://www.polymtl.ca/moose/content/improving-testing-efficiency-selenium-based-load-testsPortail Poly
logramefficientlogparsingusingngramdictionaries JOURNAL 2020 Dai, H., Li, H., Chen, C.-S., Shang, W. & Chen, T.-H. (2020). Logram: Efficient log parsing using n-gram dictionaries. <i>IEEE Transactions on Software Engineering</i>, 14 pa ...
https://www.polymtl.ca/moose/content/logram-efficient-log-parsing-using-n-gram-dictionariesPortail Poly
predictingnodefailuresinanultralargescalecloudcomputingplatformanaiopssolution JOURNAL 2020 Li, Y., Jiang, Z.M.J., Li, H., Hassan, A.E., He, C., Huang, R., Zeng, Z., Wang, M. & Chen, P. (2020). Predicting node failures in an ultra-large-scale clou ...
https://www.polymtl.ca/moose/content/predicting-node-failures-ultra-large-scale-cloud-computing-platform-aiops-solutionPortail Poly
astudyoftheperformanceofgeneralcompressorsonlogfiles JOURNAL 2020 Yao, K., Li, H., Shang, W. & Hassan, A.E. (2020). A study of the performance of general compressors on log files. <i>Empirical Software Engineering, 25</i>(5), 3043-3085 ...
https://www.polymtl.ca/moose/content/study-performance-general-compressors-log-filesPortail Poly
deeplvsuggestingloglevelsusingordinalbasedneuralnetworks CONFERENCE 2021 Li, Z., Li, H., Chen, T.-H.P. & Shang, W. (2021). <i>DeepLV: Suggesting log levels using ordinal based neural networks.</i> Communication présentée à 43rd Interna ...
https://www.polymtl.ca/moose/content/deeplv-suggesting-log-levels-using-ordinal-based-neural-networksPortail Poly
logassistassistingloganalysisthroughlogsummarization JOURNAL 2021 Locke, S., Li, H., Chen, T.-H., Shang, W. & Liu, W. (2021). LogAssist: Assisting Log Analysis Through Log Summarization. <i>IEEE Transactions on Software Engineering</i> ...
https://www.polymtl.ca/moose/content/logassist-assisting-log-analysis-through-log-summarizationPortail Poly
anempiricalstudyoftheimpactofdatasplittingdecisionsontheperformanceofaiopssolutions JOURNAL 2021 Lyu, Y., Li, H., Sayagh, M., Jiang, Z.M. & Hassan, A.E. (2021). An empirical study of the impact of data splitting decisions on the performance of AiO ...
https://www.polymtl.ca/moose/content/empirical-study-impact-data-splitting-decisions-performance-aiops-solutionsPortail Poly
astudyofcccodeweaknessesonstackoverflow JOURNAL 2021 Zhang, H., Wang, S., Li, H., Chen, T.-H.P. & Hassan, A.E. (2021). A study of C/C++ code weaknesses on stack overflow. <i>IEEE Transactions on Software Engineering</i>. Tiré de <A ...
https://www.polymtl.ca/moose/content/study-cc-code-weaknesses-stack-overflowPortail Poly
assistingexamplebasedapimisusedetectionviacomplementaryartificialexamples JOURNAL 2021 Lamothe, M., Li, H. & Shang, W. (2021). Assisting Example-based API Misuse Detection via Complementary Artificial Examples. <i>IEEE Transactions on Softwa ...
https://www.polymtl.ca/moose/content/assisting-example-based-api-misuse-detection-complementary-artificial-examples