000 07282nam a22005655i 4500
001 978-3-540-71301-2
003 DE-He213
005 20160624102104.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540713012
_9978-3-540-71301-2
024 7 _a10.1007/978-3-540-71301-2
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
245 1 0 _aEmpirical Software Engineering Issues. Critical Assessment and Future Directions
_h[electronic resource] :
_bInternational Workshop, Dagstuhl Castle, Germany, June 26-30, 2006. Revised Papers /
_cedited by Victor R. Basili, Dieter Rombach, Kurt Schneider, Barbara Kitchenham, Dietmar Pfahl, Richard W. Selby.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXVII, 193 p. Also available online.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4336
505 0 _aSession 1 The Empirical Paradigm -- The Empirical Paradigm Introduction -- Approaches for Empirical Validation -- Techniques for Empirical Validation -- Status of Empirical Research in Software Engineering -- Position Papers -- Aggregation of Empirical Evidence -- Empirical Evaluation in Software Engineering: Role, Strategy, and Limitations -- New Opportunities for Empirical Research -- Empirical Paradigm: Position Paper -- The Value of Empirical Evidence for Practitioners and Researchers -- Exploration Versus Confirmation -- Empirical Paradigm – The Role of Experiments -- The Role of Controlled Experiments in Software Engineering Research -- Position Papers -- Creating Real Value in Software Engineering Experiments -- From Silver Bullets to Philosophers’ Stones: Who Wants to Be Just an Empiricist? -- Social and Human Aspects of Software Engineering -- Longitudinal Studies in Evidence-Based Software Engineering -- The Use of Grounded Theory in Empirical Software Engineering -- Historical Review -- Exploration and Confirmation: An Historical Perspective -- Working Group Results -- Combining Study Designs and Techniques Working Group Results -- Optimizing Return-On-Investment (ROI) for Empirical Software Engineering Studies Working Group Results -- The Role of Controlled Experiments Working Group Results -- Discussion and Summary -- The Empirical Paradigm Discussion and Summary -- Session 2 Measurement and Model Building -- Measurement and Model Building Introduction -- Data Sharing -- Data Collection, Analysis, and Sharing Strategies for Enabling Software Measurement and Model Building -- Knowledge Acquisition in Software Engineering Requires Sharing of Data and Artifacts -- Effective Data Interpretation -- Effective Data Interpretation -- Software Support Tools and Experimental Work -- Position Papers -- Measurement and Interpretation of Productivity and Functional Correctness -- Synthesising Research Results -- On the Quality of Data -- Working Group Results -- Potential of Open Source Systems as Project Repositories for Empirical Studies Working Group Results -- Data Sharing Enabling Technologies Working Group Results -- Documenting Theories Working Group Results -- Discussion and Summary -- Measurement and Model Building Discussion and Summary -- Session 3 Technology Transfer and Education -- Technology Transfer and Education Introduction -- Technology Transfer -- Empirical Studies as a Basis for Technology Transfer -- Position Papers -- Relationships and Responsibilities of Software Experimentation -- The (Practical) Importance of SE Experiments -- How to Improve the Use of Controlled Experiments as a Means for Early Technology Transfer -- Extending Empirical Studies to Cover More Realistic Industrial Development and Project Management Issues -- Empirical Case Studies in Industry: Some Thoughts -- Software Process Simulation Frameworks in Support of Packaging and Transferring Empirical Evidence -- Structuring Families of Industrial Case Studies -- Education -- Empirical Software Engineering: Teaching Methods and Conducting Studies -- Educational Objectives for Empirical Methods -- Position Papers -- On “Landscaping” and Influence of Empirical Studies -- Involving Industry Professionals in Empirical Studies with Students -- Working Group Results -- Industry-Research Collaboration Working Group Results -- Teaching Empirical Methods to Undergraduate Students Working Group Results -- Discussion and Summary -- Technology Transfer and Education Discussion and Summary -- Roadmapping -- Empirical Software Engineering Research Roadmap Introduction -- Working Group Results -- Roadmapping Working Group 1 Results -- Roadmapping Working Group 2 Results -- Roadmapping Working Group 3 Results -- Roadmapping Working Group 4 Results -- Discussion and Summary -- Empirical Software Engineering Research Roadmap Discussion and Summary.
520 _aVictor R. Basili, Dieter Rombach, and Kurt Schneider Introduction In 1992, a Dagstuhl seminar was held on “Experimental Software Engineering Issues” (seminar no. 9238). Its goal was to discuss the state of the art of empirical software engineering (ESE) by assessing past accomplishments, raising open questions, and proposing a future research agenda. Since 1992, the topic of ESE has been adopted more widely by academia as an interesting and promising research topic, and in industrial practice as a necessary infrastructure technology for goal-oriented, sustained process improvement. At the same time, the spectrum of methods applied in ESE has broadened. For example, in 1992, the empirical methods applied in software engineering were basically restricted to quantitative studies (mostly controlled experiments), whereas since then, a range of qualitative methods have been introduced, from observational to ethnographical studies. Thus, the field can be said to have moved from experimental to empirical software engineering. We believe that it is now time to again bring together practitioners and researchers to identify both the progress made since 1992 and the most important challenges for the next five to ten years.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aData mining.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aSimulation and Modeling.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aBasili, Victor R.
_eeditor.
700 1 _aRombach, Dieter.
_eeditor.
700 1 _aSchneider, Kurt.
_eeditor.
700 1 _aKitchenham, Barbara.
_eeditor.
700 1 _aPfahl, Dietmar.
_eeditor.
700 1 _aSelby, Richard W.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540713005
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4336
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-71301-2
942 _2EBK7517
_cEBK
999 _c36811
_d36811