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Understanding Ephemeral State of Relevance., , , and . CHIIR, page 137-146. ACM, (2017)Reading time, scrolling and interaction: exploring implicit sources of user preferences for relevance feedback, and . Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, page 408--409. New York, NY, USA, ACM, (2001)Advantages, Disadvantages and Misunderstandings About Document Driven Design for Scientific Software., , and . SE-HPCCSE@SC, page 41-48. IEEE, (2016)Testing for trustworthiness in scientific software., and . SE-CSE@ICSE, page 59-64. IEEE Computer Society, (2009)Relevance Feedback versus Local Context Analysis as Term Suggestion Devices: Rutgers' TREC-8 Interactive Track Experience., , , , , , , , , and . TREC, volume 500-246 of NIST Special Publication, National Institute of Standards and Technology (NIST), (1999)Overview of the TREC 2006 Question Answering Track 99., , and . TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)Overview of the TREC 2007 Question Answering Track., , and . TREC, volume 500-274 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2007)Qualitative observations from software code inspection experiments., and . CASCON, page 5. IBM, (2002)Towards the profiling of scientific software for accuracy., , and . CASCON, page 257-271. IBM / ACM, (2011)Inspecting designs in the context of model-driven development., , , , , and . CASCON, page 337-340. IBM, (2006)