Auflistung nach Autor:in "Philipps, Jan"
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- KonferenzbeitragISO 26262 - Tool chain analysis reduces tool qualification costs(Automotive - Safety & Security 2012, 2012) Slotosch, Oscar; Wildmoser, Martin; Philipps, Jan; Jeschull, Reinhard; Zalman, RafaelSoftware tools in safety related projects are indispensable, but also introduce risks. A tool error may lead to the injection or non-detection of a fault in the product. For this reason the safety norm for road vehicles, ISO 26262, requires determination of a tool confidence level for each software tool. In this paper we present a model-based approach to represent a tool chain, its potential errors and the counter-measures for these. In this model tools are not only error sources, but can also act as error sinks for other tools by providing appropriate checks and restrictions. The tool work flow in a project can be rearranged or extended to make the integrated tool chain safer than its parts and to reduce tool qualification costs greatly. The tool chain model not only identifies the critical tools, but also exposes very specific qualification requirements for these. The paper illustrates and augments this approach with experiences and results from an application to a real industrial automotive tool chain consisting of 37 tools.
- KonferenzbeitragStrategies and Best Practices for MBSE Adoption in Embedded Systems Industry(Software Engineering 2020, 2020) Amorim, Tiago; Vogelsang, Andreas; Pudlitz, Florian; Gersing, Peter; Philipps, Jan2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice [Context] Model-based Systems Engineering (MBSE) advocates the integrated use of models throughout all development phases of a system development life-cycle. It is also often suggested as a solution to cope with the challenges of engineering complex systems. However, MBSE adoption is no trivial task and companies, especially large ones, struggle to achieve it in a timely and effective way. [Goal] We aim to discover what are the best practices and strategies to implement MBSE in companies that develop embedded software systems. [Method] Using an inductive-deductive research approach, we conducted 14 semi-structured interviews with experts from 10 companies. Further, we analyzed the data and drew some conclusions which were validated by an on-line questionnaire in a triangulation fashion. [Results] Our findings are summarized in an empirically validated list of 18 best practices for MBSE adoption and through a prioritized list of the 5 most important best practices. [Conclusions] Raising engineers’ awareness regarding MBSE advantages and acquiring experience through small projects are considered the most important practices to increase the success of MBSE adoption.