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2nd ESEM 2008: Kaiserslautern, Germany
- H. Dieter Rombach, Sebastian G. Elbaum, Jürgen Münch:
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
- 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
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 A. 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
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
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
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
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
Iterative identification of fault-prone binaries using in-process metrics. 206-212
Estimation models II
- Vu Nguyen
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
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
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
Evaluating the usefulness of software visualization in supporting software comprehension activities. 276-278 - Yasutaka Kamei, Akito Monden
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
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
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
An over-sampling method for analogy-based software effort estimation. 312-314 - Yonghee Shin, Laurie A. Williams:
An empirical model to predict security vulnerabilities using code complexity metrics. 315-317 - Ayse Tosun
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
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
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 A. Kitchenham
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
Are good code reviewers also good at design review? 351-353 - José Ignacio Panach
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
Exploring effort distribution in RUP projects. 359 - Koji Toda, Akito Monden
Fit data selection for software effort estimation models. 360-361
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