Table of Contents

• Program Committee [doi]
• Message from the General and Program Chairs [doi]
• Organizing Committee [doi]
• Additional Reviewers [doi]
• Flexible Processes for Evolvable ProductsCarlo Ghezzi. 1 [doi]
• Evaluating Software Project Prediction SystemsMartin J. Shepperd. 2 [doi]
• The Clients Impact on Effort Estimation Accuracy in Software Development ProjectsStein Grimstad, Magne Jørgensen, Kjetil Moløkken-Østvold. 3 [doi]
• Assessing Uncertainty of Software Development Effort Estimates: The Learning from Outcome FeedbackTanja Gruschke, Magne Jørgensen. 4 [doi]
• Survival Analysis for the Duration of Software ProjectsPanagiotis Sentas, Lefteris Angelis. 5 [doi]
• Measuring Productivity on High Performance ComputersMarvin V. Zelkowitz, Victor R. Basili, Sima Asgari, Lorin Hochstein, Jeffrey K. Hollingsworth, Taiga Nakamura. 6 [doi]
• Butterflies: A Visual Approach to Characterize PackagesStéphane Ducasse, Michele Lanza, Laura Ponisio. 7 [doi]
• Metrics of Software Architecture Changes Based on Structural DistanceTaiga Nakamura, Victor R. Basili. 8 [doi]
• A Model for Performance Management and EstimationLuigi Buglione, Alain Abran. 9 [doi]
• Measurement Framework for Software Privilege Protection Based on User Interaction AnalysisMichael Yanguo Liu, Issa Traoré. 10 [doi]
• Towards a Simplified Implementation of Object-Oriented Design MetricsCristina Marinescu, Radu Marinescu, Tudor Gîrba. 11 [doi]
• Software, Performance and Resource Utilisation Metrics for Context-Aware Mobile ApplicationsCaspar Ryan, Pablo Rossi. 12 [doi]
• Refactoring for Changeability: A Way to Go?Birgit Geppert, Audris Mockus, Frank Rößler. 13 [doi]
• Assessing the Impact of Coupling on the Understandability and Modifiability of OCL Expressions within UML/OCL Combined ModelsLuis Reynoso, Marcela Genero, Mario Piattini, M. Esperanza Manso. 14 [doi]
• Product Metrics for Automatic Identification of Bad Smell Design Problems in Java Source-CodeMatthew James Munro. 15 [doi]
• On Refactoring Support Based on Code Clone Dependency RelationNorihiro Yoshida, Yoshiki Higo, Toshihiro Kamiya, Shinji Kusumoto, Katsuro Inoue. 16 [doi]
• Managing Uncertainty in Requirements: A Survey in Documentation-Driven and Agile CompaniesAlberto Sillitti, Martina Ceschi, Barbara Russo, Giancarlo Succi. 17 [doi]
• Using Software Development Progress Data to Understand Threats to Project OutcomesTracy Hall, Austen Rainer, Dorota Jagielska. 18 [doi]
• An Industrial Case Study of Implementing and Validating Defect Classification for Process Improvement and Quality ManagementBernd G. Freimut, Christian Denger, Markus Ketterer. 19 [doi]
• Acceptance Issues in Metrics Program ImplementationMedha Umarji, Henry Emurian. 20 [doi]
• Towards Reusable Measurement PatternsMikael Lindvall, Paolo Donzelli, Sima Asgari, Victor R. Basili. 21 [doi]
• Measurement-Driven Dashboards Enable Leading Indicators for Requirements and Design of Large-Scale SystemsRichard W. Selby. 22 [doi]
• Experiences from Conducting Semi-structured Interviews in Empirical Software Engineering ResearchSiw Elisabeth Hove, Bente Anda. 23 [doi]
• Teaching Evidence-Based Software Engineering to University StudentsMagne Jørgensen, Tore Dybå, Barbara A. Kitchenham. 24 [doi]
• Can We Teach Empirical Software Engineering?Maria Letizia Jaccheri, Thomas Østerlie. 25 [doi]
• Validation of New Theses on Off-the-Shelf Component Based DevelopmentJingyue Li, Reidar Conradi, Odd Petter N. Slyngstad, Christian Bunse, Muhammad Umair Ahmed Khan, Marco Torchiano, Maurizio Morisio. 26 [doi]
• Sampling Open Source Projects from Portals: Some Preliminary InvestigationsAusten Rainer, Stephen Gale. 27 [doi]
• Measuring Fine-Grained Change in Software: Towards Modification-Aware Change MetricsDaniel M. Germán, Abram Hindle. 28 [doi]
• Impact Analysis by Mining Software and Change Request RepositoriesGerardo Canfora, Luigi Cerulo. 29 [doi]
• Ensemble Imputation Methods for Missing Software Engineering DataBhekisipho Twala, Michelle Cartwright. 30 [doi]
• Visualizing Historical Data Using SpectrographsAhmed E. Hassan, Jingwei Wu, Richard C. Holt. 31 [doi]
• Finding Predictors of Field Defects for Open Source Software Systems in Commonly Available Data Sources: A Case Study of OpenBSDPaul Luo Li, James D. Herbsleb, Mary Shaw. 32 [doi]
• Dynamic Code Coverage Metrics: A Lognormal PerspectiveSwapna S. Gokhale, Robert E. Mullen. 33 [doi]
• What Should You Optimize When Building an Estimation Model?Chris Lokan. 34 [doi]
• Using Grey Relational Analysis to Predict Software Effort with Small Data SetsQinbao Song, Martin J. Shepperd, Carolyn Mair. 35 [doi]
• A Replicated Comparison of Cross-Company and Within-Company Effort Estimation Models Using the ISBSG DatabaseEmilia Mendes, Chris Lokan, Robert Harrison, Chris Triggs. 36 [doi]
• An Empirical Analysis of Software Productivity over TimeRahul Premraj, Martin J. Shepperd, Barbara A. Kitchenham, Pekka Forselius. 37 [doi]
• A Replication of the Use of Regression towards the Mean (R2M) as an Adjustment to Effort Estimation ModelsMartin J. Shepperd, Michelle Cartwright. 38 [doi]
• Extending Function Point Analysis of Object-Oriented Requirements SpecificationsVahan Harput, Hermann Kaindl, Stefan Kramer. 39 [doi]
• An Empirical Assessment of Function Point-Like Object-Oriented MetricsVieri Del Bianco, Luigi Lavazza. 40 [doi]
• Early & Quick Function Point: Sizing More with LessLuca Santillo, Massimiliano Conte, Roberto Meli. 41 [doi]
• Understanding of Estimation Accuracy in Software Development ProjectsStein Grimstad. 42 [doi]
• Evaluation and Improvement of the Software and Process Quality through Their Cross-ImpactDenis Kozlov. 43 [doi]
• Software Measurement in LargeGabor Guta. 44 [doi]
• Empowering Software Development Environments by Automatic Software MeasurementBernhard Daubner. 45 [doi]
• Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data QualityGernot Armin Liebchen, Martin J. Shepperd. 46 [doi]
• An Outsourcing Model of Software DevelopmentRasvan Constantinescu. 47 [doi]
• Empirical Studies of Software Cost Estimation: Training of Effort Estimation Uncertainty Assessment SkillsTanja Gruschke. 48 [doi]