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The research track welcomes practitioners and researchers who work on theory, techniques, and applications that concern analysis and/or manipulation of the source code of software systems. The below table contains an overview of the tracks, links to their pages, and papers accepted previously at the tracks: Track name Each track has its own submission page and deadlines, please consult the specific page of the track for all of the relevant details. There are several different tracks in the SCAM 2021 program, this page contains an overview for those tracks, and additional information required to submit. The term ‘manipulation’ is taken to mean any automated or semi-automated procedure which takes and returns source code. The term ‘analysis’ is taken to mean any automated or semi automated procedure which takes source code and yields insight into its meaning. It is therefore so-construed as to include machine code, very high level languages and executable graphical representations of systems. Definition of ‘Source Code’įor the purpose of clarity ‘source code’ is taken to mean any fully executable description of a software system. The analysis and manipulation of source code Is properly directed towards other aspects of systemsĭevelopment and evolution, such as specification, designĪnd requirements engineering, it is the source code thatĬontains the only precise description of the behaviour of Much attention in the wider software engineering community Manipulation of the source code of computer systems. Techniques and applications which concern analysis and/or Researchers and practitioners working on theory, The aim of the International Working Conference on SourceĬode Analysis & Manipulation (SCAM) is to bring together I will describe a vision for the digital enterprise and what the NIH and others are doing to support the notion with the intent to accelerate scientific discovery.SCAM 2021 will be held virtually, co-located with ICSME 2021. This offers immense opportunities for software developers to enable the enterprise. The biomedical research lifecycle is fast becoming completely digital and increasingly open to the point that publishing could simply become changing the access control on given research objects comprising ideas, hypotheses, data, software, results, conclusions, reviews, grants and so on. Bourne will speak about "Biomedical Research as an Open Digital Enterprise": Awards include: the Jim Gray eScience Award (2010), the Benjamin Franklin Award (2009), the Flinders University Convocation Medal for Outstanding Achievement (2004), the Sun Microsystems Convergence Award (2002) and the CONNECT Award for new inventions (1996 & 97).ĭr.
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Bourne is the co-founder and founding Editor-in-Chief of the open access journal PLOS Computational Biology.īourne is a Past President of the International Society for Computational Biology, an elected fellow of the American Association for the Advancement of Science (AAAS), the International Society for Computational Biology (ISCB) and the American College of Medical Informatics.īourne is committed to professional development through the Ten Simple Rules series of articles and a variety of lectures and video presentations.
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Previously he co-founded 4 companies: ViSoft Inc., Protein Vision Inc., a company distributing independent films for free and most recently SciVee. He has published over 300 papers and 5 books, one of which sold over 150,000 copies. This implies algorithms, text mining, machine learning, metalanguages, biological databases, and visualization applied to problems in systems pharmacology, evolution, cell signaling, apoptosis, immunology and scientific dissemination. Bourne's work at the NIH focuses on accelerating the rate of knowledge discovery from the ever increasing amounts of biomedical data at all scales – from genomes to populations.īourne's laboratory focuses on relevant biological and educational outcomes derived from computation and scholarly communication.
Bourne PhD is the Associate Director for Data Science at the NIH and formerly Associate Vice Chancellor for Innovation and Industry Alliances, and Professor of Pharmacology at the University of California San Diego.
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