Year |
Citation |
Score |
2022 |
Carver JC, Weber N, Ram K, Gesing S, Katz DS. A survey of the state of the practice for research software in the United States. Peerj. Computer Science. 8: e963. PMID 35634111 DOI: 10.7717/peerj-cs.963 |
0.336 |
|
2020 |
Jay C, Haines R, Katz DS, Carver JC, Gesing S, Brandt SR, Howison J, Dubey A, Phillips JC, Wan H, Turk MJ. The challenges of theory-software translation. F1000research. 9: 1192. PMID 33214878 DOI: 10.12688/f1000research.25561.1 |
0.379 |
|
2020 |
Carver JC, Staron M. Blockchain and Smart Contract Engineering Ieee Software. 37: 94-96. DOI: 10.1109/Ms.2020.2999995 |
0.377 |
|
2020 |
Carver JC, Penzenstadler B, Minku LL, Colomo-Palacios R, Larrucea X. Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance Ieee Software. 37: 83-86. DOI: 10.1109/Ms.2020.2986840 |
0.451 |
|
2020 |
Carver JC, Penzenstadler B. Requirements Engineering Research: News From the Trenches Ieee Software. 37: 86-88. DOI: 10.1109/Ms.2019.2959364 |
0.409 |
|
2020 |
Prikladnicki R, Lassenius C, Carver JC. Trends in Agile: Business Agility Ieee Software. 37: 78-80. DOI: 10.1109/Ms.2019.2945652 |
0.357 |
|
2020 |
Przedzinski T, Malawski M, Was Z, Carver J, Rouson D. Software Development Strategies for High-Energy Physics Simulations Based on Quantum Field Theory Computing in Science and Engineering. 22: 86-98. DOI: 10.1109/Mcse.2019.2947017 |
0.428 |
|
2020 |
Johnson SR, Prokopenko A, Evans KJ, Carver J, Morris K. Automated Fortran–C++ Bindings for Large-Scale Scientific Applications Computing in Science and Engineering. 22: 84-94. DOI: 10.1109/Mcse.2019.2924204 |
0.339 |
|
2019 |
Carver JC, Serebrenik A. Gender in Software Engineering Ieee Software. 36: 76-78. DOI: 10.1109/Ms.2019.2934584 |
0.504 |
|
2019 |
Carver JC, Minku LL. Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption Ieee Software. 36: 29-31. DOI: 10.1109/Ms.2019.2922457 |
0.416 |
|
2019 |
Carver J. Quality, Nontechnical Skills, Blind Programmers, and Deep Learning Ieee Software. 36: 127-136. DOI: 10.1109/Ms.2018.2883874 |
0.464 |
|
2019 |
Melo SM, Carver JC, Souza PSL, Souza SRS. Empirical research on concurrent software testing: A systematic mapping study Information & Software Technology. 105: 226-251. DOI: 10.1016/J.Infsof.2018.08.017 |
0.439 |
|
2019 |
Al-Zubidy A, Carver JC. Identification and prioritization of SLR search tool requirements: an SLR and a survey Empirical Software Engineering. 24: 139-169. DOI: 10.1007/S10664-018-9626-5 |
0.458 |
|
2018 |
Carver J, Capilla R, Penzenstadler B, Serebrenik A, Valdezate A. Gender, Sentiment and Emotions, and Safety-Critical Systems Ieee Software. 35: 16-19. DOI: 10.1109/Ms.2018.4321243 |
0.395 |
|
2018 |
Carver JC, Prikladnicki R. Industry–Academia Collaboration in Software Engineering Ieee Software. 35: 120-124. DOI: 10.1109/Ms.2018.3571250 |
0.504 |
|
2018 |
Carver J, Penzenstadler B, Serebrenik A. Software Analysis, Evolution, and Reengineering, and ICT Sustainability Ieee Software. 35: 78-80. DOI: 10.1109/Ms.2018.2801553 |
0.4 |
|
2018 |
Carver JC, Almeida ESd, Capilla R, Minku L, Torchiano M, Valdezate A. Empirical Software Engineering, Predictive Models, and Product Lines Ieee Software. 35: 8-11. DOI: 10.1109/Ms.2018.2141018 |
0.46 |
|
2018 |
Carver JC, Serebrenik A. Software Maintenance and Evolution and Automated Software Engineering Ieee Software. 35: 102-104. DOI: 10.1109/Ms.2018.1661318 |
0.508 |
|
2018 |
Nanthaamornphong A, Carver JC. Test-Driven Development in HPC Science: A Case Study Computing in Science and Engineering. 20: 98-113. DOI: 10.1109/Mcse.2018.05329819 |
0.512 |
|
2018 |
Carver JC, Gesing S, Katz DS, Ram K, Weber N. Conceptualization of a US Research Software Sustainability Institute (URSSI) Computing in Science and Engineering. 20: 4-9. DOI: 10.1109/Mcse.2018.03221924 |
0.455 |
|
2018 |
Theisen C, Munaiah N, Al-Zyoud M, Carver JC, Meneely A, Williams L. Attack surface definitions: A systematic literature review Information & Software Technology. 104: 94-103. DOI: 10.1016/J.Infsof.2018.07.008 |
0.362 |
|
2018 |
Anu VK, Hu W, Carver JC, Walia GS, Bradshaw G. Development of a human error taxonomy for software requirements: A systematic literature review Information & Software Technology. 103: 112-124. DOI: 10.1016/J.Infsof.2018.06.011 |
0.411 |
|
2018 |
Hu W, Carver JC, Anu VK, Walia GS, Bradshaw GL. Using human error information for error prevention Empirical Software Engineering. 23: 3768-3800. DOI: 10.1007/S10664-018-9623-8 |
0.372 |
|
2018 |
Kosar T, Gaberc S, Carver JC, Mernik M. Program comprehension of domain-specific and general-purpose languages: replication of a family of experiments using integrated development environments Empirical Software Engineering. 23: 2734-2763. DOI: 10.1007/S10664-017-9593-2 |
0.343 |
|
2017 |
Bosu A, Carver JC, Bird C, Orbeck J, Chockley C. Process Aspects and Social Dynamics of Contemporary Code Review: Insights from Open Source Development and Industrial Practice at Microsoft Ieee Transactions On Software Engineering. 43: 56-75. DOI: 10.1109/Tse.2016.2576451 |
0.386 |
|
2017 |
Carver JC, Muccini H, Yamashita A. Distributed Teams, Developer Participation, and More Ieee Software. 34: 114-116. DOI: 10.1109/Ms.2017.85 |
0.508 |
|
2017 |
Carver JC, Minku LL, Penzenstadler B. Requirements, Human Values, and the Development Technology Landscape Ieee Software. 34: 13-15. DOI: 10.1109/Ms.2017.6 |
0.476 |
|
2017 |
Carver JC, Cabot J, Capilla R, Muccini H. GitHub, Technical Debt, Code Formatting, and More Ieee Software. 34: 105-107. DOI: 10.1109/Ms.2017.51 |
0.482 |
|
2017 |
Prikladnicki R, Lassenius C, Carver JC. Trends in Agile Updated: Perspectives from the Practitioners Ieee Software. 35: 109-111. DOI: 10.1109/Ms.2017.4541042 |
0.456 |
|
2017 |
Carver JC, Penzenstadler B, Serebrenik A, Yamashita A. The Human Factor Ieee Software. 34: 90-92. DOI: 10.1109/Ms.2017.3571580 |
0.473 |
|
2017 |
Carver JC. Developments in Requirements Engineering Ieee Software. 34: 8-10. DOI: 10.1109/Ms.2017.104 |
0.463 |
|
2017 |
Carver JC, Hong NC, Ciraci S. The 4th International Workshop on Software Engineering for HPC in Computational Science and Engineering Computing in Science and Engineering. 19: 91-95. DOI: 10.1109/Mcse.2017.28 |
0.523 |
|
2017 |
Al-Zubidy A, Carver JC, Hale DP, Hassler EE. Vision for SLR tooling infrastructure: Prioritizing value-added requirements Information & Software Technology. 91: 72-81. DOI: 10.1016/J.Infsof.2017.06.007 |
0.431 |
|
2016 |
Krein JL, Prechelt L, Juristo N, Nanthaamornphong A, Carver JC, Vegas S, Knutson CD, Seppi KD, Eggett DL. A Multi-Site Joint Replication of a Design Patterns Experiment Using Moderator Variables to Generalize across Contexts Ieee Transactions On Software Engineering. 42: 302-321. DOI: 10.1109/Tse.2015.2488625 |
0.406 |
|
2016 |
Carver JC, Almeida ESd, Capilla R, Minku LL, Muccini H, Penzenstadler B. Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment Ieee Software. 33: 29-31. DOI: 10.1109/Ms.2016.74 |
0.466 |
|
2016 |
Prikladnicki R, Lassenius C, Tian E, Carver JC. Trends in Agile: Perspectives from the Practitioners Ieee Software. 33: 20-22. DOI: 10.1109/Ms.2016.152 |
0.469 |
|
2016 |
Carver JC, Paasivaara M, Penzenstadler B. Probing Questions, Participatory Democracy, Quality Assurance, and Customer Data Ieee Software. 33: 12-14. DOI: 10.1109/Ms.2016.122 |
0.48 |
|
2016 |
Carver JC. Software Engineering for Science Computing in Science and Engineering. 18: 4-5. DOI: 10.1109/Mcse.2016.31 |
0.491 |
|
2016 |
Hassler E, Carver JC, Hale D, Al-Zubidy A. Identification of SLR tool needs - Results of a community workshop Information and Software Technology. 70: 122-129. DOI: 10.1016/J.Infsof.2015.10.011 |
0.462 |
|
2015 |
Carver JC, Hong NC, Ciraci S. Software engineering for CSE Scientific Programming. 2015. DOI: 10.1155/2015/591562 |
0.502 |
|
2015 |
Nanthaamornphong A, Carver J, Morris K, Filippone S. Extracting UML Class Diagrams from Object-Oriented Fortran: ForUML Scientific Programming. 2015. DOI: 10.1155/2015/421816 |
0.531 |
|
2015 |
Carver JC, Yamashita A, Minku L, Habayeb M, Kocak SA. Software Quality, Energy Awareness, and More Ieee Software. 32: 98-100. DOI: 10.1109/Ms.2015.127 |
0.497 |
|
2015 |
Carver JC, Caglayan B, Habayeb M, Penzenstadler B, Yamashita A. Collaborations and code reviews Ieee Software. 32: 27-29. DOI: 10.1109/Ms.2015.113 |
0.454 |
|
2015 |
Heaton D, Carver JC. Claims about the use of software engineering practices in science: A systematic literature review Information and Software Technology. 67: 207-219. DOI: 10.1016/J.Infsof.2015.07.011 |
0.544 |
|
2015 |
Nanthaamornphong A, Carver JC. Test-Driven Development in scientific software: a survey Software Quality Journal. DOI: 10.1007/S11219-015-9292-4 |
0.501 |
|
2015 |
Chatterji D, Carver JC, Kraft NA. Code clones and developer behavior: results of two surveys of the clone research community Empirical Software Engineering. DOI: 10.1007/S10664-015-9394-4 |
0.382 |
|
2014 |
Carver JC, Epperly T. Software engineering for computational science and engineering Computing in Science and Engineering. 16: 6-9. DOI: 10.1109/Mcse.2014.72 |
0.484 |
|
2014 |
Bosu A, Carver J, Guadagno R, Bassett B, McCallum D, Hochstein L. Peer impressions in open source organizations: A survey Journal of Systems and Software. 94: 4-15. DOI: 10.1016/J.Jss.2014.03.061 |
0.655 |
|
2014 |
Carver JC, Juristo N, Baldassarre MT, Vegas S. Replications of software engineering experiments Empirical Software Engineering. 19: 267-276. DOI: 10.1007/S10664-013-9290-8 |
0.477 |
|
2014 |
Williams BJ, Carver JC. Examination of the software architecture change characterization scheme using three empirical studies Empirical Software Engineering. 19: 419-464. DOI: 10.1007/S10664-012-9223-Y |
0.503 |
|
2014 |
Albayrak O, Carver JC. Investigation of individual factors impacting the effectiveness of requirements inspections: A replicated experiment Empirical Software Engineering. 19: 241-266. DOI: 10.1007/S10664-012-9221-0 |
0.437 |
|
2013 |
Carver J, Heaton D, Hochstein L, Bartlett R. Self-perceptions about software engineering: A survey of scientists and engineers Computing in Science and Engineering. 15: 7-11. DOI: 10.1109/Mcse.2013.12 |
0.691 |
|
2013 |
Walia GS, Carver JC. Using error abstraction and classification to improve requirement quality: Conclusions from a family of four empirical studies Empirical Software Engineering. 18: 625-658. DOI: 10.1007/S10664-012-9202-3 |
0.34 |
|
2012 |
Carver JC. Software Engineering for Computational Science and Engineering Computing in Science and Engineering. 14: 8-11. DOI: 10.1109/Mcse.2012.31 |
0.472 |
|
2012 |
Jacob F, Gray J, Carver JC, Mernik M, Bangalore P. PPModel: A modeling tool for source code maintenance and optimization of parallel programs Journal of Supercomputing. 62: 1560-1582. DOI: 10.1007/S11227-012-0821-7 |
0.353 |
|
2012 |
Kosar T, Mernik M, Carver JC. Program comprehension of domain-specific and general-purpose languages: Comparison using a family of experiments Empirical Software Engineering. 17: 276-304. DOI: 10.1007/S10664-011-9172-X |
0.326 |
|
2011 |
Carver J. Development of a mesh generation code with a graphical front-end: A case study Journal of Organizational and End User Computing. 23: 1-16. DOI: 10.4018/Joeuc.2011100101 |
0.47 |
|
2011 |
Jankun-Kelly TJ, Wilson D, Stamps AS, Franck J, Carver J, Edward Swan J. Visual analysis for textual relationships in digital forensic evidence Information Visualization. 10: 134-144. DOI: 10.1057/Ivs.2010.15 |
0.331 |
|
2010 |
Bogen AC, Dampier DA, Vaughn R, Reese DS, Allen EB, Carver JC. Structured forensics examination planning with domain modeling: A report of three experiment trials Journal of Digital Forensic Practice. 3: 23-32. DOI: 10.1080/15567280903376896 |
0.323 |
|
2010 |
Williams BJ, Carver JC. Characterizing software architecture changes: A systematic review Information and Software Technology. 52: 31-51. DOI: 10.1016/J.Infsof.2009.07.002 |
0.418 |
|
2010 |
Carver JC, Jaccheri L, Morasca S, Shull F. A checklist for integrating student empirical studies with research and teaching goals Empirical Software Engineering. 15: 35-59. DOI: 10.1007/S10664-009-9109-9 |
0.412 |
|
2009 |
Carver JC. Report from the second international workshop on software engineering for computational science and engineering (SE-CSE 09) Acm Sigsoft Software Engineering Notes. 34: 48-51. DOI: 10.1145/1598732.1598761 |
0.496 |
|
2009 |
Carver JC. First International Workshop on Software Engineering for Computational Science & Engineering Computing in Science and Engineering. 11: 7-11. DOI: 10.1109/Mcse.2009.30 |
0.517 |
|
2009 |
Carver JC. Report: The Second International Workshop on Software Engineering for CSE Computing in Science and Engineering. 11: 14-19. DOI: 10.1109/Mcse.2009.203 |
0.528 |
|
2009 |
Carver J. Report from the Second International Workshop on Software Engineering for Computational Science and Engineering (SE-CSE 09) Computing in Science and Engineering. 1-1. DOI: 10.1109/Mcse.2009.158 |
0.478 |
|
2009 |
Walia GS, Carver JC. A systematic literature review to identify and classify software requirement errors Information & Software Technology. 51: 1087-1109. DOI: 10.1016/J.Infsof.2009.01.004 |
0.441 |
|
2008 |
Carver JC, Nagappan N, Page A. The Impact of Educational Background on the Effectiveness of Requirements Inspections: An Empirical Study Ieee Transactions On Software Engineering. 34: 800-812. DOI: 10.1109/Tse.2008.49 |
0.409 |
|
2008 |
Kendall R, Carver JC, Fisher D, Henderson D, Mark A, Post D, Rhoades CE, Squires S. Development of a weather forecasting code: A case study Ieee Software. 25: 59-65. DOI: 10.1109/Ms.2008.86 |
0.428 |
|
2008 |
Basili VR, Carver JC, Cruzes D, Hochstein LM, Hollingsworth JK, Shull F, Zelkowitz MV. Understanding the high-performance-computing community: A software engineer's perspective Ieee Software. 25: 29-36. DOI: 10.1109/Ms.2008.103 |
0.48 |
|
2008 |
Shull FJ, Carver JC, Vegas S, Juristo N. The role of replications in Empirical Software Engineering Empirical Software Engineering. 13: 211-218. DOI: 10.1007/S10664-008-9060-1 |
0.452 |
|
2007 |
Carver J. Post-workshop report for the Third International Workshop on Software Engineering for High Performance Computing Applications (SE-HPC 07) Acm Sigsoft Software Engineering Notes. 32: 38-43. DOI: 10.1145/1290993.1291006 |
0.471 |
|
2006 |
Carver J, Shull F, Basili V. Can observational techniques help novices overcome the software inspection learning curve? An empirical investigation Empirical Software Engineering. 11: 523-539. DOI: 10.1007/S10664-006-9021-5 |
0.729 |
|
2006 |
Maldonado JC, Carver J, Shull F, Fabbri S, Dória E, Martimiano L, Mendonça M, Basili V. Perspective-based reading: A replicated experiment focused on individual reviewer effectiveness Empirical Software Engineering. 11: 119-142. DOI: 10.1007/S10664-006-5967-6 |
0.69 |
|
2004 |
Shull F, Mendoncça MG, Basili V, Carver J, Maldonado JC, Fabbri S, Travassos GH, Ferreira MC. Knowledge-Sharing Issues in Experimental Software Engineering Empirical Software Engineering. 9: 111-137. DOI: 10.1023/B:Emse.0000013516.80487.33 |
0.747 |
|
2003 |
Carver JC, Basili VR. Identifying implicit process variables to support future empirical work Journal of the Brazilian Computer Society. 9: 77-87. DOI: 10.1590/S0104-65002003000300006 |
0.383 |
|
2003 |
Carver JC, Basili V. The impact of background and experience on software inspections Empirical Software Engineering. 9: 259-262. DOI: 10.1023/B:Emse.0000027786.04555.97 |
0.771 |
|
2003 |
Carver JC, Jaccheri L, Morasca S, Shull F. Using empirical studies during software courses Lecture Notes in Computer Science. 81-103. DOI: 10.1007/978-3-540-45143-3_6 |
0.423 |
|
2002 |
Travassos GH, Shull F, Carver JC. Working with UML: A software design process based on inspections for the unified modeling language Advances in Computers. 54: 35-98. DOI: 10.1016/S0065-2458(01)80015-2 |
0.701 |
|
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