Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs
A notorious class of concurrency bugs are race condition related to correlated variables, which make up about 30 % of all non-deadlock concurrency bugs. A solution to prevent this problem is the automatic generation of parallel unit tests. This paper presents an approach to generate parallel unit te...
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| Vydané v: | International journal of parallel programming Ročník 44; číslo 3; s. 644 - 662 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
Springer US
01.06.2016
Springer Nature B.V |
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| ISSN: | 0885-7458, 1573-7640 |
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| Abstract | A notorious class of concurrency bugs are race condition related to correlated variables, which make up about 30 % of all non-deadlock concurrency bugs. A solution to prevent this problem is the automatic generation of parallel unit tests. This paper presents an approach to generate parallel unit tests for variable correlations in multithreaded code. We introduce a hybrid approach for identifying correlated variables. Furthermore, we estimate the number of potentially violated correlations for methods executed in parallel. In this way, we are capable of creating unit tests that are suited for race detectors considering correlated variables. We were able to identify more than 85 % of all race conditions on correlated variables in eight applications after applying our parallel unit tests. At the same time, we reduced the number of unnecessary generated unit tests. In comparison to a test generator unaware of variable correlations, redundant unit tests are reduced by up to 50 %, while maintaining the same precision and accuracy in terms of the number of detected races. |
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| AbstractList | Issue Title: Special Issue on High-Level Parallel Programming and Applications A notorious class of concurrency bugs are race condition related to correlated variables, which make up about 30 % of all non-deadlock concurrency bugs. A solution to prevent this problem is the automatic generation of parallel unit tests. This paper presents an approach to generate parallel unit tests for variable correlations in multithreaded code. We introduce a hybrid approach for identifying correlated variables. Furthermore, we estimate the number of potentially violated correlations for methods executed in parallel. In this way, we are capable of creating unit tests that are suited for race detectors considering correlated variables. We were able to identify more than 85 % of all race conditions on correlated variables in eight applications after applying our parallel unit tests. At the same time, we reduced the number of unnecessary generated unit tests. In comparison to a test generator unaware of variable correlations, redundant unit tests are reduced by up to 50 %, while maintaining the same precision and accuracy in terms of the number of detected races. A notorious class of concurrency bugs are race condition related to correlated variables, which make up about 30 % of all non-deadlock concurrency bugs. A solution to prevent this problem is the automatic generation of parallel unit tests. This paper presents an approach to generate parallel unit tests for variable correlations in multithreaded code. We introduce a hybrid approach for identifying correlated variables. Furthermore, we estimate the number of potentially violated correlations for methods executed in parallel. In this way, we are capable of creating unit tests that are suited for race detectors considering correlated variables. We were able to identify more than 85 % of all race conditions on correlated variables in eight applications after applying our parallel unit tests. At the same time, we reduced the number of unnecessary generated unit tests. In comparison to a test generator unaware of variable correlations, redundant unit tests are reduced by up to 50 %, while maintaining the same precision and accuracy in terms of the number of detected races. A notorious class of concurrency bugs are race condition related to correlated variables, which make up about 30 % of all non-deadlock concurrency bugs. A solution to prevent this problem is the automatic generation of parallel unit tests. This paper presents an approach to generate parallel unit tests for variable correlations in multithreaded code. We introduce a hybrid approach for identifying correlated variables. Furthermore, we estimate the number of potentially violated correlations for methods executed in parallel. In this way, we are capable of creating unit tests that are suited for race detectors considering correlated variables. We were able to identify more than 85 % of all race conditions on correlated variables in eight applications after applying our parallel unit tests. At the same time, we reduced the number of unnecessary generated unit tests. In comparison to a test generator unaware of variable correlations, redundant unit tests are reduced by up to 50 %, while maintaining the same precision and accuracy in terms of the number of detected races. |
| Author | Jannesari, Ali Wolf, Felix |
| Author_xml | – sequence: 1 givenname: Ali surname: Jannesari fullname: Jannesari, Ali email: a.jannesari@grs-sim.de organization: German Research School for Simulation Sciences, RWTH Aachen University – sequence: 2 givenname: Felix surname: Wolf fullname: Wolf, Felix organization: German Research School for Simulation Sciences, RWTH Aachen University |
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| DOI | 10.1007/s10766-015-0363-8 |
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| Keywords | Unit tests Correlated variables Parallel programming Automatic testing Race detection Debugging Program analysis |
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| References | Katayama, T., Itoh, E., Ushijima, K., Furukawa, Z.: Test-case generation for concurrent programs with the testing criteria using interaction sequences. In: Proceedings of the Sixth Asia Pacific Software Engineering Conference (APSEC ’99). IEEE Computer Society, Washington, DC (1999) Cooper, K.D., Harvey, T.J., Kennedy, K.: A Simple, Fast Dominance Algorithm. Technical Report TR06-38870, Computer Science Department, Rice University, Houston, TX (2006) XuMBodíkRHillMDA serializability violation detector for shared-memory server programsSigplan Not.200540114 Jannesari, A., Tichy, W.F.: On-the-fly race detection in multi-threaded programs. In: Proceedings of the 6th Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging. PADTAD ’08, pp. 6:1–6:10. ACM, New York, NY (2008) Luo, Q., Zhang, S., Zhao, J., Hu, M.: A lightweight and portable approach to making concurrent failures reproducible. In: Proceedings of the 13th International Conference on Fundamental Approaches to Software Engineering. FASE’10, pp. 323–337. Springer, Berlin (2010) Microsoft Code gallery for parallel programs. http://code.msdn.microsoft.com/Samples-for-Parallel-b4b76364 Wong, W.E., Lei, Y., Ma, Y.: Effective generation of test sequences for structural testing of concurrent programs. In: 10th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS 2005), pp. 539–548. IEEE Computer Society, Richardson, TX (2005) Nistor, A., Luo, Q., Pradel, M., Gross, T.R., Marinov, D.: Ballerina: automatic generation and clustering of efficient random unit tests for multithreaded code. In: Proceedings of the 2012 International Conference on Software Engineering (ICSE 2012), pp. 727–737. IEEE Press, Piscataway, NJ (2012) Jannesari, A., Tichy, W.F.: Library-independent data race detection. IEEE Transactions on Parallel and Distributed Systems (TPDS), pp. 1–11 (2013) Lu, S., Park, S., Hu, C., Ma, X., Jiang, W., Li, Z., Popa, R.A., Zhou, Y.: MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs. In: SOSP ’07: Proceedings of Twenty-First ACM SIGOPS Symposium on Operating Systems Principles, pp. 103–116. ACM, New York, NY (2007) Jannesari, A., Tichy, W.F.: Identifying ad-hoc synchronization for enhanced race detection. In: IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–10 (2010) Jannesari, A., Bao, K., Pankratius, V., Tichy, W.F.: Helgrind+: an efficient dynamic race detector. In: IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–13 (2009) Smart thread pool. http://smartthreadpool.codeplex.com Vaziri, M., Tip, F., Dolby, J.: Associating synchronization constraints with data in an object-oriented language. In: POPL ’06: Conference Record of the 33rd ACM SIGPLAN–SIGACT Symposium on Principles of Programming Languages, pp. 334–345. ACM, New York, NY (2006) Schimmel, J., Molitorisz, K., Jannesari, A., Tichy, W.F.: Automatic generation of parallel unit tests. In: 8th IEEE/ACM International Workshop on Automation of Software Test (AST) (2013) Jannesari, A., Westphal-Furuya, M., Tichy, W.F.: Dynamic data race detection for correlated variables. In: Proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing, vol. Part I. ICA3PP’11, pp. 14–26. Springer, Berlin (2011) NethercoteNSewardJValgrind: a framework for heavyweight dynamic binary instrumentationSigplan Not.2007428910010.1145/1273442.1250746 Musuvathi, M., Qadeer, S., Ball, T., Basler, G., Nainar, P.A., Neamtiu, I.: Finding and reproducing heisenbugs in concurrent programs. In: Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation. OSDI’08, pp. 267–280. USENIX Association, Berkeley, CA (2008) Lu, S., Park, S., Seo, E., Zhou, Y.: Learning from mistakes: a comprehensive study on real world concurrency bug characteristics. In: ASPLOS XIII: Proceedings of the 13th International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 329–339. ACM, New York, NY (2008) Reichl, D.: Keepass password safe. http://keepass.info MusuvathiMQadeerSPueblaGChess: systematic stress testing of concurrent softwareLogic-Based Program Synthesis and Transformation2007BerlinSpringer151610.1007/978-3-540-71410-1_2 Butler, N.: Petridish: multi-threading for performance in c#. http://www.codeproject.com/Articles/26453 363_CR8 363_CR6 363_CR7 363_CR4 363_CR18 363_CR5 363_CR17 363_CR2 N Nethercote (363_CR9) 2007; 42 M Musuvathi (363_CR15) 2007 363_CR3 363_CR19 363_CR14 363_CR1 363_CR13 363_CR16 363_CR10 363_CR20 363_CR12 363_CR11 363_CR22 M Xu (363_CR21) 2005; 40 |
| References_xml | – reference: Wong, W.E., Lei, Y., Ma, Y.: Effective generation of test sequences for structural testing of concurrent programs. In: 10th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS 2005), pp. 539–548. IEEE Computer Society, Richardson, TX (2005) – reference: Smart thread pool. http://smartthreadpool.codeplex.com/ – reference: Reichl, D.: Keepass password safe. http://keepass.info/ – reference: Schimmel, J., Molitorisz, K., Jannesari, A., Tichy, W.F.: Automatic generation of parallel unit tests. In: 8th IEEE/ACM International Workshop on Automation of Software Test (AST) (2013) – reference: Cooper, K.D., Harvey, T.J., Kennedy, K.: A Simple, Fast Dominance Algorithm. Technical Report TR06-38870, Computer Science Department, Rice University, Houston, TX (2006) – reference: Nistor, A., Luo, Q., Pradel, M., Gross, T.R., Marinov, D.: Ballerina: automatic generation and clustering of efficient random unit tests for multithreaded code. In: Proceedings of the 2012 International Conference on Software Engineering (ICSE 2012), pp. 727–737. IEEE Press, Piscataway, NJ (2012) – reference: Jannesari, A., Tichy, W.F.: Identifying ad-hoc synchronization for enhanced race detection. In: IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–10 (2010) – reference: Musuvathi, M., Qadeer, S., Ball, T., Basler, G., Nainar, P.A., Neamtiu, I.: Finding and reproducing heisenbugs in concurrent programs. In: Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation. OSDI’08, pp. 267–280. USENIX Association, Berkeley, CA (2008) – reference: Jannesari, A., Tichy, W.F.: On-the-fly race detection in multi-threaded programs. In: Proceedings of the 6th Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging. PADTAD ’08, pp. 6:1–6:10. ACM, New York, NY (2008) – reference: Butler, N.: Petridish: multi-threading for performance in c#. http://www.codeproject.com/Articles/26453/ – reference: Jannesari, A., Westphal-Furuya, M., Tichy, W.F.: Dynamic data race detection for correlated variables. In: Proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing, vol. Part I. ICA3PP’11, pp. 14–26. Springer, Berlin (2011) – reference: MusuvathiMQadeerSPueblaGChess: systematic stress testing of concurrent softwareLogic-Based Program Synthesis and Transformation2007BerlinSpringer151610.1007/978-3-540-71410-1_2 – reference: Lu, S., Park, S., Seo, E., Zhou, Y.: Learning from mistakes: a comprehensive study on real world concurrency bug characteristics. In: ASPLOS XIII: Proceedings of the 13th International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 329–339. ACM, New York, NY (2008) – reference: Lu, S., Park, S., Hu, C., Ma, X., Jiang, W., Li, Z., Popa, R.A., Zhou, Y.: MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs. In: SOSP ’07: Proceedings of Twenty-First ACM SIGOPS Symposium on Operating Systems Principles, pp. 103–116. ACM, New York, NY (2007) – reference: Vaziri, M., Tip, F., Dolby, J.: Associating synchronization constraints with data in an object-oriented language. In: POPL ’06: Conference Record of the 33rd ACM SIGPLAN–SIGACT Symposium on Principles of Programming Languages, pp. 334–345. ACM, New York, NY (2006) – reference: Jannesari, A., Bao, K., Pankratius, V., Tichy, W.F.: Helgrind+: an efficient dynamic race detector. In: IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–13 (2009) – reference: NethercoteNSewardJValgrind: a framework for heavyweight dynamic binary instrumentationSigplan Not.2007428910010.1145/1273442.1250746 – reference: Luo, Q., Zhang, S., Zhao, J., Hu, M.: A lightweight and portable approach to making concurrent failures reproducible. In: Proceedings of the 13th International Conference on Fundamental Approaches to Software Engineering. FASE’10, pp. 323–337. Springer, Berlin (2010) – reference: Microsoft Code gallery for parallel programs. http://code.msdn.microsoft.com/Samples-for-Parallel-b4b76364 – reference: XuMBodíkRHillMDA serializability violation detector for shared-memory server programsSigplan Not.200540114 – reference: Jannesari, A., Tichy, W.F.: Library-independent data race detection. IEEE Transactions on Parallel and Distributed Systems (TPDS), pp. 1–11 (2013) – reference: Katayama, T., Itoh, E., Ushijima, K., Furukawa, Z.: Test-case generation for concurrent programs with the testing criteria using interaction sequences. In: Proceedings of the Sixth Asia Pacific Software Engineering Conference (APSEC ’99). 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| SubjectTerms | Analysis Automation Computer programming Computer Science Concurrency Correlation Debugging Estimates Generators Parallel processing Parallel programming Processor Architectures Race Redundant Semantics Software Software Engineering/Programming and Operating Systems Studies Theory of Computation Variables |
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| Title | Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs |
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