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A Model for Systematic Monitoring and Debugging of Starvation Bugs in Multicore Software
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5058-7351
SICS Swedish ICT, Västerås, Sweden.ORCID iD: 0000-0002-1512-0844
Ericsson AB, Kista, Sweden.ORCID iD: 0000-0002-5070-9312
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5032-2310
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2016 (English)In: 2016 ASE Workshop on Specification, Comprehension, Testing and Debugging of Concurrent Programs SCTDCP2016, 2016Conference paper, Published paper (Refereed)
Abstract [en]

With the development of multicore hardware, concurrent, parallel and multicore software are becoming increasingly popular. Software companies are spending a huge amount of time and resources to nd and debug the bugs. Among all types of software bugs, concurrency bugs are also important and troublesome. This type of bugs is increasingly becoming an issue particularly due to the growing prevalence of multicore hardware. In this position paper, we propose a model for monitoring and debugging Starvation bugs as a type of concurrency bugs in multicore software. The model is composed into three phases: monitoring, detecting and debugging. The monitoring phase can support detecting phase by storing collected data from the system execution. The detecting phase can support debugging phase by comparing the stored data with starvation bug's properties, and the debugging phase can help in reproducing and removing the Starvation bug from multicore software. Our intention is that our model is the basis for developing tool(s) to enable solving Starvation bugs in software for multicore platforms.

Place, publisher, year, edition, pages
2016.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32885OAI: oai:DiVA.org:mdh-32885DiVA: diva2:955810
Conference
2016 ASE Workshop on Specification, Comprehension, Testing and Debugging of Concurrent Programs SCTDCP2016, 3-7 Sep 2016, Singapore, Singapore
Projects
SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems
Available from: 2016-08-26 Created: 2016-08-24 Last updated: 2016-08-26Bibliographically approved

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CiteExportLink to record
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