Search results for "perspectives"

Hits ?▲	Authors	Title	Venue	Year	Link
25	Margaret-Anne D. Storey	Lies, damned lies, and analytics.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Jeff Huang 0002	Gameplay data plays nicer when divided into cohorts.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Jürgen Münch	Continuously experiment to assess values early on.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Alessandro Orso	Don't forget the developers! (and be careful with your assumptions).	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Christian Bird	Don't embarrass yourself.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Sascha Just, Kim Herzig	Gotchas from mining bug reports.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Georgios Gousios	Open from the beginning.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Dag I. K. Sjøberg, Gunnar R. Bergersen, Tore Dybå	Why theory matters.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Romain Robbes	Software analytics for small software companies.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Olga Baysal	A tailored suit.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Venkatesh-Prasad Ranganath	While models are good, simple explanations are better.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Kim Herzig	There's never enough time to do all the testing you want.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Christian Bird	Interviews.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Sira Vegas, Natalia Juristo	What can go wrong in software engineering experiments?	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Reid Holmes	Look for state transitions in temporal data.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Markku Oivo	Data science revolution in process improvement and assessment?	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Christopher Theisen, Laurie A. Williams	Stack traces reveal attack surfaces.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Tore Dybå, Gunnar R. Bergersen, Dag I. K. Sjøberg	Evidence-based software engineering.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Gail C. Murphy	Log it all?	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Barbara Russo	The need for data analysis patterns (in software engineering).	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Stephan Diehl 0001	Make visualization part of your analysis process.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Trevor Carnahan	Reducing time to insight.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Earl T. Barr, Premkumar T. Devanbu	The naturalness of software ☆.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Andrew Meneely	Security cannot be measured.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Thomas Zimmermann 0001	One size does not fit all.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Tim Menzies	Correlation is not causation (or, when not to scream "Eureka!").	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Natalia Juristo	Once is not enough.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Amy J. Ko	The world is your test suite.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Titus Barik, Emerson R. Murphy-Hill	A process for surviving survey design and sailing through survey deployment.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Elaine J. Weyuker, Thomas J. Ostrand	Identifying fault-prone files in large industrial software systems.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Tim Menzies	Seven principles of inductive software engineering.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Qingwei Lin, Jian-Guang Lou, Hongyu Zhang 0002, Dongmei Zhang 0001	How to tame your online services.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Alberto Bacchelli	Structure your unstructured data first!	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Bram Adams	How the release process impacts your software analytics.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Martin J. Shepperd	Replicated results are more trustworthy.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Nenad Medvidovic, Alessandro Orso	Software analytics under the lamp post (or what star trek teaches us about the importance of asking the right questions).	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Ayse Bener, Burak Turhan, Ayse Tosun, Bora Caglayan, Ekrem Kocaguneli	A success story in applying data science in practice.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Diomidis Spinellis	Tools! Tools! We need tools!	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Andreas Zeller	Mining apps for anomalies.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Baishakhi Ray, Daryl Posnett	A large ecosystem study to understand the effect of programming languages on code quality.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Per Runeson	Mere numbers aren't enough.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Leandro L. Minku	The wisdom of the crowds in predictive modeling for software engineering.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Thomas Zimmermann 0001	Card-sorting.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Audris Mockus	Operational data are missing, incorrect, and decontextualized.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Pete Rotella	Advances in release readiness.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Harold Valdivia Garcia, Meiyappan Nagappan	Diversity in software engineering research.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Ayse Bener, Ayse Tosun	If it is software engineering, it is (probably) a Bayesian factor.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Venkatesh-Prasad Ranganath	Embrace dynamic artifacts.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Massimiliano Di Penta	Combining quantitative and qualitative methods (when mining software data).	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Fayola Peters	Becoming Goldilocks.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Stefan Wagner 0001	Natural language processing is no free lunch.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Brendan Murphy	Limitations and context of research.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Günther Ruhe, Maleknaz Nayebi	What counts is decisions, not numbers - Toward an analytics design sheet.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Abram Hindle	The perils of energy mining.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Dongmei Zhang 0001, Tao Xie 0001	Software analytics and its application in practice.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Leandro L. Minku	Which machine learning method do you need?	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Zhitao Hou, Hongyu Zhang 0002, Haidong Zhang, Dongmei Zhang 0001	Visual analytics for software engineering data.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Miryung Kim	Five steps for success.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Jacek Czerwonka	Code reviews are not for finding defects - Even established tools need occasional evaluation.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Michael W. Godfrey	Why provenance matters.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Burak Turhan, Kari Kuutti	Simpler questions can lead to better insights.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
25	Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro	Sparse Models for Intrinsic Shape Correspondence.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Silvia Tozza, Maurizio Falcone	A Comparison of Non-Lambertian Models for the Shape-from-Shading Problem.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Jovisa D. Zunic, Paul L. Rosin, Mehmet Ali Aktas	Increasing the Power of Shape Descriptor Based Object Analysis Techniques.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Honghua Li, Hao (Richard) Zhang	Shape Compaction.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Iasonas Kokkinos	Accelerating Deformable Part Models with Branch-and-Bound.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Martin Welk	Amoeba Techniques for Shape and Texture Analysis.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox	Shape Distances for Binary Image Segmentation.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Sibel Tari	Ornament Analysis with the Help of Screened Poisson Shape Fields.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Matthias Vestner, Emanuele Rodolà, Thomas Windheuser, Samuel Rota Bulò, Daniel Cremers	Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Anastasia Dubrovina, Yonathan Aflalo, Ron Kimmel	Non-rigid Shape Correspondence Using Surface Descriptors and Metric Structures in the Spectral Domain.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Margret Keuper, Thomas Brox	Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Yong Chul Ju, Daniel Maurer 0002, Michael Breuß, Andrés Bruhn	Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Leila De Floriani, Ulderico Fugacci, Federico Iuricich	Homological Shape Analysis Through Discrete Morse Theory.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	William A. P. Smith	The Perspective Face Shape Ambiguity.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Alexander Hewer, Stefanie Wuhrer, Ingmar Steiner, Korin Richmond	Tongue Mesh Extraction from 3D MRI Data of the Human Vocal Tract.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	Petros Maragos, Vassilis Pitsikalis, Athanasios Katsamanis, Georgios Pavlakos, Stavros Theodorakis	On Shape Recognition and Language.	Perspectives in Shape Analysis	2016	DBLP DOI BibTeX RDF
25	C. J. Meershoek, Rens Kortmann, Sebastiaan A. Meijer, Eswaran Subrahmanian, Alexander Verbraeck	The Culture Driven Game Design Method: Adapting Serious Games to the Players' Culture.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Joanna J. Bryson	The Role of Stability in Cultural Evolution: Innovation and Conformity in Implicit Knowledge Discovery.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Omar González, Jean-Paul A. Barthès, F. Ramos	Cultural Broker Agents: A Framework for Managing Cultural Misunderstandings.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Seán G. Roberts	Monolingual Biases in Simulations of Cultural Transmission.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Frank Dignum, Virginia Dignum	Integrating Cultures: An Introduction.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart	Cross-Validation of Gaming Simulation and Multi-Agent Simulation.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Rubén Fuentes-Fernández, Jorge J. Gómez-Sanz, Juan Pavón	Modelling Culture Through Social Activities.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Bruce Edmonds	Matching and Mismatching Social Contexts.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Michael Mäs, Andreas Flache, James A. Kitts	Cultural Integration and Differentiation in Groups and Organizations.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Sonja Pedell, Tim Miller 0001, Frank Vetere, Leon Sterling, Steve Howard	Socially-Oriented Requirements Engineering: Software Engineering Meets Ethnography.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Alexis Morris, William Ross, Hadi Hosseini, Mihaela Ulieru	Modelling Culture with Complex, Multi-dimensional, Multi-agent Systems.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Jens Pfau, Yoshihisa Kashima, Liz Sonenberg	Towards Agent-Based Models of Cultural Dynamics: A Case of Stereotypes.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Alexei Sharpanskykh, Sybert H. Stroeve	Modeling and Analysis of Safety Culture of Air Traffic Organizations in the National Culture Context.	Perspectives on Culture and Agent-based Simulations	2014	DBLP DOI BibTeX RDF
25	Jürgen Münch, Klaus Schmid (eds.)	Perspectives on the Future of Software Engineering, Essays in Honor of Dieter Rombach	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Forrest Shull, Davide Falessi, Carolyn B. Seaman, Madeline Diep, Lucas Layman	Technical Debt: Showing the Way for Better Transfer of Empirical Results.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Marvin V. Zelkowitz	Education of Software Engineers.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	H. Dieter Rombach	Empirical Software Engineering Models: Can They Become the Equivalent of Physical Laws in Traditional Engineering?	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Michael Jackson	Formalism and Intuition in Software Engineering.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Manfred Broy	Domain Modeling and Domain Engineering: Key Tasks in Requirements Engineering.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Ralf H. Reussner, Steffen Becker 0001, Anne Koziolek, Heiko Koziolek	An Empirical Investigation of the Component-Based Performance Prediction Method Palladio.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Leon J. Osterweil	What Is Software? The Role of Empirical Methods in Answering the Question.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	David M. Weiss 0001, James Kirby, Robyn R. Lutz	Moving Toward Evidence-Based Software Production.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF
25	Ross Jeffery	Paths to Software Engineering Evidence.	Perspectives on the Future of Software Engineering	2013	DBLP DOI BibTeX RDF