Keynote address

• 
  Harald Hönninger, Mark Müller: Using empirical methods to improve industrial technology transfer. 1

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
• 
  Hanna Scott, Claes Wohlin: Capture-recapture in software unit testing: a case study. 32-40
• 
  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
• 
  Luigi Lavazza, Vieri Del Bianco, Carla Garavaglia: Model-based functional size measurement. 100-109

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
• 
  Andrew Begel, Nachiappan Nagappan: Pair programming: what's in it for me? 120-128
• 
  Medha Umarji, Carolyn B. Seaman: Why do programmers avoid metrics? 129-138

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
• 
  Ana Magazinovic, Joakim Pernstål: Any other cost estimation inhibitors? 233-242

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
• 
  Da Yang, Qing Wang, Mingshu Li, Ye Yang, Kai Ye, Jing Du: A survey on software cost estimation in the chinese software industry. 253-262
• 
  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
• 
  Yuepu Guo, Sreedevi Sampath: Web application fault classification - an exploratory study. 303-305

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
• 
  Werner Heijstek, Michel R. V. Chaudron: Exploring effort distribution in RUP projects. 359
• 
  Koji Toda, Akito Monden, Ken-ichi Matsumoto: Fit data selection for software effort estimation models. 360-361

last updated on Sat May 25 04:57:20 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page