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A comparative study of coarse- and fine-grained safe regression test-selection techniques
2001
ACM Transactions on Software Engineering and Methodology
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In this paper, we present the results of a comparative empirical study of two safe regression test-selection techniques. ...
Regression test-selection techniques reduce the cost of regression testing by selecting a subset of an existing test suite to use in retesting a modified program. ...
See Binkley [1997] , Chen et Coarse-and Fine-Grained Safe Regression Test-Selection Techniques • al. ...
doi:10.1145/367008.367015
fatcat:k7qnxi3igbabfme6ok4n47g4i4
On test suite composition and cost-effective regression testing
2004
ACM Transactions on Software Engineering and Methodology
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regression-testing-related methodologies: retest-all, regression test selection, test suite reduction, and test case prioritization. ...
The effects of granularity, technique, and grouping on the cost and fault-detection effectiveness of regression testing under the given methodologies are analyzed. ...
ACKNOWLEDGEMENTS This work was supported by the NSF Information Technology Research program under Awards CCR-0080898 and CCR-0080900 to University of Nebraska, Lincoln and Oregon State University, ...
doi:10.1145/1027092.1027093
fatcat:5wfdizmfdzgsfkssec4ix3cl4y
Selective regression testing for web applications created with google web toolkit
2014
Proceedings of the 2014 International Conference on Principles and Practices of Programming on the Java platform Virtual machines, Languages, and Tools - PPPJ '14
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In this paper, we investigate the efficiency of a specialized, graph-walk based selective regression testing technique that aims to detect code changes on the client side in order to determine a reduced ...
Techniques for regression testing and fault-localization as well as frameworks like the Google Web Toolkit (GWT) ease the development and testing process, but still require approaches to reduce the testing ...
Acknowledgements We are indebted to the itdesign GmbH for allowing us to evaluate our approach on their software and to Jonathan Brachthäuser as well as Julia Trieflinger for creating web tests and seeding ...
doi:10.1145/2647508.2647527
dblp:conf/pppj/Hirzel14
fatcat:tdgfiyoxnrflxlrfxcpo4yr36u
Source-Code Level Regression Test Selection: the Model-Driven Way
2019
Journal of Object Technology
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RTS reduces the duration of regression testing and hence its cost. In this paper, we present a model-driven approach for RTS. ...
The RT time becomes problematic as the number of test cases is growing. Regression test selection (RTS) aims at running only the test cases that have been impacted by recent changes. ...
Fine-grained regression test selection. Orso et al. present a RTS technique that uses two levels of impact analysis [OSH04] . ...
doi:10.5381/jot.2019.18.2.a13
fatcat:egsoc7llf5ewbi56rmvsivnusm
Regression test selection for C++ software
2000
Software testing, verification & reliability
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Regression test selection techniques reduce the cost of regression testing by selecting test cases for a modified program from a previously existing test suite. ...
This paper presents a regression test selection technique for use with object-oriented software. ...
Thus, for controlled regression testing, a regression test selection algorithm that selects all modification traversing test cases is safe. ...
doi:10.1002/1099-1689(200006)10:2<77::aid-stvr197>3.0.co;2-e
fatcat:56l4gngecja7hhjq5x6rs67zae
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
2021
Conference on Robot Learning
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We thus introduce generalizations that ensure that our approach is both cost-aware and allows for fine-grained selection of examples through partially labeled scenes. ...
Self-driving vehicles must perceive and predict the future positions of nearby actors to avoid collisions and drive safely. ...
Next, we analyze the added benefits of fine-grained active selection and observe significant gains compared to traditional approaches. ...
dblp:conf/corl/SegalK0ZRWU21
fatcat:wimgoga7lrf6pbgvmgg4b7gfqa
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
[article]
2021
arXiv
pre-print
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We thus introduce generalizations that ensure that our approach is both cost-aware and allows for fine-grained selection of examples through partially labeled scenes. ...
Our experiments on a real-world, large-scale self-driving dataset suggest that fine-grained selection can improve the performance across perception, prediction, and downstream planning tasks. ...
Conclusion In this paper, we studied active learning techniques to intelligently select examples to label from large collections of unlabeled self-driving data logs for perception and prediction models ...
arXiv:2104.03956v1
fatcat:sfebwajwdrhpxc7kflaxp6inby
Food Quality Changes and Implications: Evidence from the Rice Value Chain of Bangladesh
2013
World Development
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In Dhaka, the capital of Bangladesh-one of the poorest countries in Asia, where rice accounts for almost 70 percent of consumers' caloric intake-the share of the less expensive coarse rice is shown to ...
be rapidly decreasing in rice markets and the quality premium for the fine rice has been consistently on the rise in the last decades. ...
Coarse rice grains used in Bangladesh have a width of more than 2 millimeters. This compares with 1.7 to 2.0 millimeters for medium rice and less than 1.7 millimeters for fine rice (Rahman 2004) . ...
doi:10.1016/j.worlddev.2012.06.015
fatcat:z6r55rhszrdelps7stp4jxuey4
High-temperature low-cycle fatigue behaviour of HIP treated and untreated superalloy MAR-M247
2016
Kovové materiály
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Microstructural observations revealed coarse-grained dendritic structure with an average grain size of 2.1 mm. ...
Likewise, tests were performed on the HIP treated material at temperatures of 900 and 950 • C. The stress--strain response was recorded. ...
Acknowledgements The present research was financially supported by the grant No. 15-20991S of the Czech Science Foundation (GACR) and by the grant No. ...
doi:10.4149/km_2016_6_471
fatcat:plks2wtwdzgjfj5dyyzfgo7zby
WHISPER A Tool for Run-time Detection of Side-Channel Attacks
2020
IEEE Access
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Mitigation techniques against such attacks are not very effective for two reasons: 1) Most mitigation techniques protect against a specific vulnerability and do not take a system-wide approach, and 2) ...
However, for a detection based protection strategy to be effective, detection needs to be highly accurate, to incur minimum system overhead at runtime, should cover a large set of attacks and be capable ...
Compared to all these individual models, the Ensemble model misclassifies between 1.08% and 1.01% of fine-grain and coarse-grain detection, respectively, in the worst case. ...
doi:10.1109/access.2020.2988370
fatcat:a7lzt2gq3jbgzcggvnzdnzvaba
Scaling regression testing to large software systems
2004
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering - SIGSOFT '04/FSE-12
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Safe regression-test-selection techniques select every test case in the test suite that may behave differently in the original and modified versions of the software. ...
It also presents a tool that implements the technique and studies performed on a set of subjects ranging from 70 to over 500 KLOC. ...
Sebastian Elbaum and the anonymous ISSTA reviewers provided insightful comments on a previous version of this paper. ...
doi:10.1145/1029894.1029928
dblp:conf/sigsoft/OrsoSH04
fatcat:nidmpigbnbh4binkxvmug2zlvq
Scaling regression testing to large software systems
2004
Software engineering notes
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Safe regression-test-selection techniques select every test case in the test suite that may behave differently in the original and modified versions of the software. ...
It also presents a tool that implements the technique and studies performed on a set of subjects ranging from 70 to over 500 KLOC. ...
Sebastian Elbaum and the anonymous ISSTA reviewers provided insightful comments on a previous version of this paper. ...
doi:10.1145/1041685.1029928
fatcat:p6j6h5vvf5avxnh53acrmuhncq
Practical Machine-Checked Formalization of Change Impact Analysis
[chapter]
2020
Lecture Notes in Computer Science
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Change impact analysis techniques determine the components affected by a change to a software system, and are used as part of many program analysis techniques and tools, e.g., in regression test selection ...
We refined our verified impact analysis for performance, extracted it to efficient executable OCaml code, and integrated it with a regression test selection tool, one regression proof selection tool, and ...
Acknowledgments The authors thank Ben Buhse, Cyril Cohen, Pengyu Nie, Zachary Tatlock, Thomas Wei, Chenguang Zhu, and the anonymous reviewers for their comments and feedback on this work. ...
doi:10.1007/978-3-030-45237-7_9
fatcat:f2vmxa2shrhg7gerlpedqjeni4
Practical regression test selection with dynamic file dependencies
2015
Proceedings of the 2015 International Symposium on Software Testing and Analysis - ISSTA 2015
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Regression testing is important but can be time-intensive. One approach to speed it up is regression test selection (RTS), which runs only a subset of tests. ...
Ekstazi tracks dynamic dependencies of tests on files, and unlike most prior RTS techniques, Ekstazi requires no integration with version-control systems. ...
CONCLUSIONS We described the Ekstazi technique and its implementation for regression test selection. ...
doi:10.1145/2771783.2771784
dblp:conf/issta/GligoricEM15
fatcat:pcakzsuqd5darmu6cwzyp3wdxm
Regional Geotechnical Mapping Employing Kriging on Electronic Geodatabase
2020
Applied Sciences
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The kriging technique of geostatistical analysis was determined to be more feasible for generating a geotechnical map. ...
Many studies have been carried out in the field of topography, digital elevation modeling, agriculture, geological, crop, and precipitation mapping. ...
Fine-grained soils are dominant in the central part, while coarse-grained soils are prominent towards the edges at a shallower depth, i.e., 1.5 m. At 3.0-m depth, sandy soils overtake fine soils. ...
doi:10.3390/app10217625
fatcat:45dnghu3cvemficnjq4jf6jb2e
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