Biblio

Filters: Author is Peter Dinges, University of Illinois at Urbana-Champaign  [Clear All Filters]
2015-11-23
Peter Dinges, University of Illinois at Urbana-Champaign, Gul Agha, University of Illinois at Urbana-Champaign.  2014.  Targeted Test Input Generation Using Symbolic-Concrete Backward Execution.

Knowing inputs that cover a specific branch or statement in a program is useful for debugging and regression testing. Symbolic backward execution (SBE) is a natural approach to find such targeted inputs. However, SBE struggles with complicated arithmetic, external method calls, and data-dependent loops that occur in many real-world programs. We propose symcretic execution, a novel combination of SBE and concrete forward execution that can efficiently find targeted inputs despite these challenges. An evaluation of our approach on a range of test cases shows that symcretic execution finds inputs in more cases than concolic testing tools while exploring fewer path segments. Integration of our approach will allow test generation tools to fill coverage gaps and static bug detectors to verify candidate bugs with concrete test cases. This is the full version of an extended abstract that was presented at the 29th IEEE/ACM International Conference on Automated Software Engineering (ASE 2014), September 15–19, 2014, Västerås, Sweden.

Peter Dinges, University of Illinois at Urbana-Champaign, Gul Agha, University of Illinois at Urbana-Champaign.  2014.  Targeted Test Input Generation using Symbolic-concrete Backward Execution. 29th IEEE/ACM International Conference on Automated Software Engineering (ASE 2014).

Knowing inputs that cover a specific branch or statement in a program is useful for debugging and regression testing. Symbolic backward execution (SBE) is a natural approach to find such targeted inputs. However, SBE struggles with complicated arithmetic, external method calls, and data- dependent loops that occur in many real-world programs. We propose symcretic execution, a novel combination of SBE and concrete forward execution that can efficiently find targeted inputs despite these challenges. An evaluation of our approach on a range of test cases shows that symcretic execution finds inputs in more cases than concolic testing tools while exploring fewer path segments. Integration of our approach will allow test generation tools to fill coverage gaps and static bug detectors to verify candidate bugs with concrete test cases.

Peter Dinges, University of Illinois at Urbana-Champaign, Minas Charalambides, University of Illinois at Urbana-Champaign, Gul Agha, University of Illinois at Urbana-Champaign.  2013.  Automated Inference of Atomic Sets for Safe Concurrent Execution. 11th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering .

Atomic sets are a synchronization mechanism in which the programmer specifies the groups of data that must be ac- cessed as a unit. The compiler can check this specifica- tion for consistency, detect deadlocks, and automatically add the primitives to prevent interleaved access. Atomic sets relieve the programmer from the burden of recognizing and pruning execution paths which lead to interleaved ac- cess, thereby reducing the potential for data races. However, manually converting programs from lock-based synchroniza- tion to atomic sets requires reasoning about the program’s concurrency structure, which can be a challenge even for small programs. Our analysis eliminates the challenge by automating the reasoning. Our implementation of the anal- ysis allowed us to derive the atomic sets for large code bases such as the Java collections framework in a matter of min- utes. The analysis is based on execution traces; assuming all traces reflect intended behavior, our analysis enables safe concurrency by preventing unobserved interleavings which may harbor latent Heisenbugs.

2017-02-08
Samira Tasharofi, University of Illinois at Urbana-Champaign, Peter Dinges, University of Illinois at Urbana-Champaign, Ralph E. Johnson, University of Illinois at Urbana-Champaign.  2013.  Why Do Scala Developers Mix the Actor Model with other Concurrency Models?

Mixing the actor model with other concurrency models in a single program can break the actor abstraction. This increases the chance of creating deadlocks and data races—two mistakes that are hard to make with actors. Furthermore, it prevents the use of many advanced testing, modeling, and verification tools for actors, as these require pure actor programs. This study is the first to point out the phenomenon of mixing concurrency models by Scala developers and to systematically identify the factors leading to it. We studied 15 large, mature, and actively maintained actor programs written in Scala and found that 80% of them mix the actor model with another concurrency model. Consequently, a large part of real-world actor programs does not use actors to their fullest advantage. Inspection of the programs and discussion with the developers reveal two reasons for mixing that can be influenced by researchers and library-builders: weaknesses in the actor library implementations, and shortcomings of the actor model itself.

2015-11-23
Minas Charalambides, University of Illinois at Urbana-Champaign, Peter Dinges, University of Illinois at Urbana-Champaign, Gul Agha, University of Illinois at Urbana-Champaign.  2012.  Parameterized Concurrent Multi-Party Session Types. 11th International Workshop on Foundations of Coordination Languages and Self-Adaptive Systems (FOCLASA 2012). 91:16-30.

Session types have been proposed as a means of statically verifying implementations of communication protocols. Although prior work has been successful in verifying some classes of protocols, it does not cope well with parameterized, multi-actor scenarios with inherent asynchrony. For example, the sliding window protocol is inexpressible in previously proposed session type systems. This paper describes System-A, a new typing language which overcomes many of the expressiveness limitations of prior work. System-A explicitly supports asynchrony and parallelism, as well as multiple forms of parameterization. We define System-A and show how it can be used for the static verification of a large class of asynchronous communication protocols.