Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Antonio Filieri"'
Publikováno v:
IEEE Access, Vol 9, Pp 44476-44489 (2021)
DevOps is an emerging paradigm that reduces the barriers between developers and operations teams to offer continuous fast delivery and enable quick responses to changing requirements within the software life cycle. A significant volume of activity ha
Externí odkaz:
https://doaj.org/article/79ced8350c184f72a4992a3df51b31c8
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 33:1-26
Building performance models for software services in DevOps is costly and error-prone. Accurate service demand distribution estimation is critical to precisely modeling queueing behaviors and performance prediction. However, current estimation method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91fadfbd9b356385adbd6b934922ec0b
https://doi.org/10.1145/3570924
https://doi.org/10.1145/3570924
Publikováno v:
20th International Conference on Service-Oriented Computing (ICSOC)
Service-Oriented Computing ISBN: 9783031209833
Service-Oriented Computing ISBN: 9783031209833
Serverless computing leverages the design of complex applications as the composition of small, individual functions to simplify development and operations. However, this flexibility complicates reasoning about the trade-off between performance and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f6aacfd1d090b4a1e373ee176d9068
http://hdl.handle.net/10044/1/102264
http://hdl.handle.net/10044/1/102264
Autor:
Maria Christakis, Thomas Cottenier, Antonio Filieri, Linghui Luo, Muhammad Numair Mansur, Lee Pike, Nicolás Rosner, Martin Schäf, Aritra Sengupta, Willem Visser
Publikováno v:
ESEC/FSE '22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::734bf160548e032e5e1a9e22d97c964d
https://hdl.handle.net/21.11116/0000-000B-B550-E21.11116/0000-000B-B54E-2
https://hdl.handle.net/21.11116/0000-000B-B550-E21.11116/0000-000B-B54E-2
Publikováno v:
ESEC/SIGSOFT FSE
Probabilistic software analysis aims at quantifying the probability of a target event occurring during the execution of a program processing uncertain incoming data or written itself using probabilistic programming constructs. Recent techniques combi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eff882240a8be33cc601b535826a1ddc
https://doi.org/10.1145/3468264.3468593
https://doi.org/10.1145/3468264.3468593
Autor:
Simon Heiden, David Lo, Fabian Keller, André van Hoorn, Antonio Filieri, Lars Grunske, Timo Kehrer
Publikováno v:
Software: Practice and Experience. 49:1197-1224
Pure spectrum-based fault localization (SBFL) is a well-studied statistical debugging technique that only takes a set of test cases (some failing and some passing) and their code coverage as input and produces a ranked list of suspicious program elem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e7e75b5623c1e3b116450bcdff21d16
https://doi.org/10.1002/spe.2703
https://doi.org/10.1002/spe.2703
Publikováno v:
Quantitative Evaluation of Systems ISBN: 9783030851712
QEST
QEST 2021
QEST
QEST 2021
Building performance models for microservices applications in DevOps is costly and error-prone. Accurate service demand distribution estimation is critical to performance model parameterization. However, traditional service demand estimation methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63bb80774e60a25ff027c4d4cc45393a
https://doi.org/10.1007/978-3-030-85172-9_17
https://doi.org/10.1007/978-3-030-85172-9_17
Publikováno v:
ISSRE
IEEE 31st International Symposium on Software Reliability Engineering (ISSRE 2020)
IEEE 31st International Symposium on Software Reliability Engineering (ISSRE 2020)
Neural networks are powerful tools for automated decision-making, with applications ranging from image recogni-tion to hiring decisions and safety-critical autonomous driving. However, due to their black-box nature and large scale, reasoning about th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f4f80d0d9cb860dc0cd588cb959105
https://doi.org/10.1109/issre5003.2020.00023
https://doi.org/10.1109/issre5003.2020.00023
Publikováno v:
SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
SEAMS@ICSE
SEAMS@ICSE
Neural networks are powerful tools for automated decision-making, seeing increased application in safety-critical domains, such as autonomous driving. Due to their black-box nature and large scale, reasoning about their behavior is challenging. Stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f434e3b669d7c13a8f8dd03b823623d
http://hdl.handle.net/10044/1/83606
http://hdl.handle.net/10044/1/83606
Publikováno v:
Fundamental Approaches to Software Engineering ISBN: 9783030452339
FASE
FASE
Inferring the input grammar accepted by a program is central for a variety of software engineering problems, including parsers verification, grammar-based fuzzing, communication protocol inference, and documentation. Sound and complete active learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d252e351a79244165ce8e00dadd4260c
https://doi.org/10.1007/978-3-030-45234-6_1
https://doi.org/10.1007/978-3-030-45234-6_1