11,215 research outputs found
Mining Sequences of Developer Interactions in Visual Studio for Usage Smells
In this paper, we present a semi-automatic approach for mining a large-scale dataset of IDE interactions to extract usage smells, i.e., inefficient IDE usage patterns exhibited by developers in the field. The approach outlined in this paper first mines frequent IDE usage patterns, filtered via a set of thresholds and by the authors, that are subsequently supported (or disputed) using a developer survey, in order to form usage smells. In contrast with conventional mining of IDE usage data, our approach identifies time-ordered sequences of developer actions that are exhibited by many developers in the field. This pattern mining workflow is resilient to the ample noise present in IDE datasets due to the mix of actions and events that these datasets typically contain. We identify usage patterns and smells that contribute to the understanding of the usability of Visual Studio for debugging, code search, and active file navigation, and, more broadly, to the understanding of developer behavior during these software development activities. Among our findings is the discovery that developers are reluctant to use conditional breakpoints when debugging, due to perceived IDE performance problems as well as due to the lack of error checking in specifying the conditional
Open-TEE - An Open Virtual Trusted Execution Environment
Hardware-based Trusted Execution Environments (TEEs) are widely deployed in
mobile devices. Yet their use has been limited primarily to applications
developed by the device vendors. Recent standardization of TEE interfaces by
GlobalPlatform (GP) promises to partially address this problem by enabling
GP-compliant trusted applications to run on TEEs from different vendors.
Nevertheless ordinary developers wishing to develop trusted applications face
significant challenges. Access to hardware TEE interfaces are difficult to
obtain without support from vendors. Tools and software needed to develop and
debug trusted applications may be expensive or non-existent.
In this paper, we describe Open-TEE, a virtual, hardware-independent TEE
implemented in software. Open-TEE conforms to GP specifications. It allows
developers to develop and debug trusted applications with the same tools they
use for developing software in general. Once a trusted application is fully
debugged, it can be compiled for any actual hardware TEE. Through performance
measurements and a user study we demonstrate that Open-TEE is efficient and
easy to use. We have made Open- TEE freely available as open source.Comment: Author's version of article to appear in 14th IEEE International
Conference on Trust, Security and Privacy in Computing and Communications,
TrustCom 2015, Helsinki, Finland, August 20-22, 201
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