2. ESEM 2008: Kaiserslautern, Germany
H. Dieter Rombach, Sebastian G. Elbaum, Jürgen Münch (Eds.): Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, ESEM 2008, October 9-10, 2008, Kaiserslautern, Germany. ACM 2008 ISBN 978-1-59593-971-5
Keynote address
Coordination and communication
- Marcelo Cataldo, James D. Herbsleb, Kathleen M. Carley: Socio-technical congruence: a framework for assessing the impact of technical and work dependencies on software development productivity. 2-11
- Joakim Pernstål, Ana Magazinovic, Peter Öhman: A multiple case study investigating the interaction between manufacturing and development organizations in automotive software engineering. 12-21
Testing and analysis
- Emelie Engström, Mats Skoglund, Per Runeson: Empirical evaluations of regression test selection techniques: a systematic review. 22-31
- Sarah Smith Heckman, Laurie Williams: On establishing a benchmark for evaluating static analysis alert prioritization and classification techniques. 41-50
Estimation models I
- Dan Port, Marcel Korte: Comparative studies of the model evaluation criterions mmre and pred in software cost estimation research. 51-60
- Ye Yang, Mei He, Mingshu Li, Qing Wang, Barry W. Boehm: Phase distribution of software development effort. 61-69
- Nikolaos Mittas, Lefteris Angelis: Combining regression and estimation by analogy in a semi-parametric model for software cost estimation. 70-79
Modeling and architecture
- Jacek Rosik, Andrew Le Gear, Jim Buckley, Muhammad Ali Babar: An industrial case study of architecture conformance. 80-89
- Ariadi Nugroho, Michel R. V. Chaudron: A survey into the rigor of UML use and its perceived impact on quality and productivity. 90-99
Keynote address
- Mary Shaw: Empirical challenges in ultra large scale systems. 110
From the programmers' trenches
- Mira Kajko-Mattsson: Problems in agile trenches. 111-119
Inspections
- Kai Petersen, Kari Rönkkö, Claes Wohlin: The impact of time controlled reading on software inspection effectiveness and efficiency: a controlled experiment. 139-148
- Carolyn B. Seaman, Forrest Shull, Myrna Regardie, Denis Elbert, Raimund L. Feldmann, Yuepu Guo, Sally Godfrey: Defect categorization: making use of a decade of widely varying historical data. 149-157
- Gursimran Singh Walia, Jeffrey C. Carver: Evaluation of capture-recapture models for estimating the abundance of naturally-occurring defects. 158-167
Metrics and methodology
- Junzhong Ji, Jingyue Li, Reidar Conradi, Chunnian Liu, Jianqiang Ma, Weibing Chen: Some lessons learned in conducting software engineering surveys in china. 168-177
- Tore Dybå, Torgeir Dingsøyr: Strength of evidence in systematic reviews in software engineering. 178-187
- Sandro Morasca: Refining the axiomatic definition of internal software attributes. 188-197
Faults and failures
- Shujian Wu, Qing Wang, Ye Yang: Quantitative analysis of faults and failures with multiple releases of softpm. 198-205
- Lucas Layman, Gunnar Kudrjavets, Nachiappan Nagappan: Iterative identification of fault-prone binaries using in-process metrics. 206-212
Estimation models II
- Vu Nguyen, Bert Steece, Barry W. Boehm: A constrained regression technique for cocomo calibration. 213-222
- Qi Li, Qing Wang, Ye Yang, Mingshu Li: Reducing biases in individual software effort estimations: a combining approach. 223-232
From the manager's trenches
- Marcus Ciolkowski, Jens Heidrich, Frank Simon, Mathias Radicke: Empirical results from using custom-made software project control centers in industrial environments. 243-252
- Yuepu Guo, Carolyn B. Seaman: A survey of software project managers on software process change. 263-269
Evaluation and comparison of techniques and models
- Christopher Thomson, Mike Holcombe, Tony Cowling, Tony Simons, George Michaelides: A pilot study of comparative customer comprehension between extreme x-machine and uml models. 270-272
- Rodrigo A. Vivanco, Dean Jin: Enhancing predictive models using principal component analysis and search based metric selection: a comparative study. 273-275
- Glauco de Figueiredo Carneiro, Rodrigo Chaves Magnavita, Eduardo Spinola, Fabio Spinola, Manoel G. Mendonça: Evaluating the usefulness of software visualization in supporting software comprehension activities. 276-278
- Yasutaka Kamei, Akito Monden, Shuji Morisaki, Ken-ichi Matsumoto: A hybrid faulty module prediction using association rule mining and logistic regression analysis. 279-281
- Michael Wedel, Uwe Jensen, Peter Göhner: Mining software code repositories and bug databases using survival analysis models. 282-284
- René Noël, Gonzalo Valdes, Marcello Visconti, Hernán Astudillo: Adding planned design to xp might help novices' productivity (or might not): two controlled experiments. 285-287
Empirical s`tudies of processes and products
- Mikael Svahnberg, Aybüke Aurum, Claes Wohlin: Using students as subjects - an empirical evaluation. 288-290
- Silvia Teresita Acuña, Marta Gómez, Juan de Lara: Empirical study of how personality, team processes and task characteristics relate to satisfaction and software quality. 291-293
- Jacky Keung: Empirical evaluation of analogy-x for software cost estimation. 294-296
- Eric Ras: Improving application and understanding of experience packages through learning spaces. 297-299
- Marcela Genero, José A. Cruz-Lemus, Danilo Caivano, Silvia Mara Abrahão, Emilio Insfrán, José A. Carsí: Does the use of stereotypes improve the comprehension of UML sequence diagrams? 300-302
Development of predictive models
- Keld Raaschou, Austen W. Rainer: Exposure model for prediction of number of customer reported defects. 306-308
- Raimund Moser, Witold Pedrycz, Giancarlo Succi: Analysis of the reliability of a subset of change metrics for defect prediction. 309-311
- Yasutaka Kamei, Jacky Wai Keung, Akito Monden, Ken-ichi Matsumoto: An over-sampling method for analogy-based software effort estimation. 312-314
- Yonghee Shin, Laurie Williams: An empirical model to predict security vulnerabilities using code complexity metrics. 315-317
- Ayse Tosun, Burak Turhan, Ayse Basar Bener: Ensemble of software defect predictors: a case study. 318-320
- Michael Kläs, Frank Elberzhager, Haruka Nakao: Managing software quality through a hybrid defect content and effectiveness model. 321-323
Experience in process improvement
- Arilo Claudio Dias Neto, Guilherme Horta Travassos: Surveying model based testing approaches characterization attributes. 324-326
- Nicola Boffoli, Giovanni Bruno, Danilo Caivano, Gemma Mastelloni: Statistical process control for software: a systematic approach. 327-329
- Rudolf Ramler, Klaus Wolfmaier: Issues and effort in integrating data from heterogeneous software repositories and corporate databases. 330-332
- Brian Robinson, Patrick Francis, Fredrik Ekdahl: A defect-driven process for software quality improvement. 333-335
- Marcos Kalinowski, Kival Chaves Weber, Guilherme Horta Travassos: IMPS: an experimentation based investigation of a nationwide software development reference model. 336-338
- Melanie Ruhe, Stefan Wagner: Using the ProdFlow(TM) approach to address the myth of productivity in r&d organizations. 339-341
Empirical evidence and systematic review
- Rialette Pretorius, David Budgen: A mapping study on empirical evidence related to the models and forms used in the uml. 342-344
- He Zhang, Barbara Kitchenham, Dietmar Pfahl: Software process simulation over the past decade: trends discovery from a systematic review. 345-347
- Dietmar Winkler, Stefan Biffl, Muhammad Ali Babar: An empirical investigation of scenarios gained and lost in architecture evaluation meetings. 348-350
- Hidetake Uwano, Akito Monden, Ken-ichi Matsumoto: Are good code reviewers also good at design review? 351-353
- José Ignacio Panach, Nelly Condori-Fernández, Francisco Valverde, Nathalie Aquino, Oscar Pastor: Understandability measurement in an early usability evaluation for model-driven development: an empirical study. 354-356
Posters
- Francisco P. Romero, José A. Olivas, Marcela Genero, Mario Piattini: Automatic extraction of the main terminology used in empirical software engineering through text mining techniques. 357-358
- Koji Toda, Akito Monden, Ken-ichi Matsumoto: Fit data selection for software effort estimation models. 360-361
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last updated on 2013-06-18T211851 by the dblp team