An empirical validation of software cost estimation models
Communications of the ACM
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Software Engineering Economics
Software Engineering Economics
Using Public Domain Metrics To Estimate Software Development Effort
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
How Valuable is company-specific Data Compared to multi-company Data for Software Cost Estimation?
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Further Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Controlling Software Projects: Management, Measurement, and Estimates
Controlling Software Projects: Management, Measurement, and Estimates
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
Using genetic programming to improve software effort estimation based on general data sets
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
A systematic review of cross- vs. within- company cost estimation studies
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
The role of replications in empirical software engineering--a word of warning
Empirical Software Engineering
Adapting a fault prediction model to allow inter languagereuse
Proceedings of the 4th international workshop on Predictor models in software engineering
A comparative evaluation on the accuracies of software effort estimates from clustered data
Information and Software Technology
Empirical evaluations of regression test selection techniques: a systematic review
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Systematic literature reviews in software engineering - A systematic literature review
Information and Software Technology
A systematic review of search-based testing for non-functional system properties
Information and Software Technology
Why comparative effort prediction studies may be invalid
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Developing search strategies for detecting relevant experiments
Empirical Software Engineering
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
A systematic review on regression test selection techniques
Information and Software Technology
Characterizing software architecture changes: A systematic review
Information and Software Technology
Applying support vector regression for web effort estimation using a cross-company dataset
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Using Support Vector Regression for Web Development Effort Estimation
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
Using Tabu Search to Estimate Software Development Effort
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
A systematic review on strategic release planning models
Information and Software Technology
Variability management in software product lines: a systematic review
Proceedings of the 13th International Software Product Line Conference
Systematic literature reviews in software engineering - A tertiary study
Information and Software Technology
Proceedings of the 7th International Conference on Frontiers of Information Technology
Stable rankings for different effort models
Automated Software Engineering
When to use data from other projects for effort estimation
Proceedings of the IEEE/ACM international conference on Automated software engineering
Information and Software Technology
Refining the systematic literature review process--two participant-observer case studies
Empirical Software Engineering
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Software project effort assessment
Journal of Software Maintenance and Evolution: Research and Practice
A systematic review of evaluation of variability management approaches in software product lines
Information and Software Technology
A systematic mapping study of software product lines testing
Information and Software Technology
Measuring the heterogeneity of cross-company dataset
Proceedings of the 11th International Conference on Product Focused Software
Using mapping studies as the basis for further research - A participant-observer case study
Information and Software Technology
Investigating the use of Support Vector Regression for web effort estimation
Empirical Software Engineering
Expert Systems with Applications: An International Journal
A principled evaluation of ensembles of learning machines for software effort estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Local bias and its impacts on the performance of parametric estimation models
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
An empirical evaluation of outlier deletion methods for analogy-based cost estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Using web objects for development effort estimation of web applications: a replicated study
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
A framework for defect prediction in specific software project contexts
CEE-SET'08 Proceedings of the Third IFIP TC 2 Central and East European conference on Software engineering techniques
Systematic literature review of machine learning based software development effort estimation models
Information and Software Technology
Impact of MDE approaches on the maintainability of web applications: an experimental evaluation
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Reconciling software development models: A quasi-systematic review
Journal of Systems and Software
The difficulties of building generic reliability models for software
Empirical Software Engineering
On the dataset shift problem in software engineering prediction models
Empirical Software Engineering
Special issue on repeatable results in software engineering prediction
Empirical Software Engineering
Empirical findings on team size and productivity in software development
Journal of Systems and Software
Regularities in learning defect predictors
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
Local vs. global models for effort estimation and defect prediction
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
A status report on the evaluation of variability management approaches
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
Experiences conducting systematic reviews from novices' perspective
EASE'10 Proceedings of the 14th international conference on Evaluation and Assessment in Software Engineering
Systematic mapping studies in software engineering
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
Lessons learnt undertaking a large-scale systematic literature review
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
Evaluating prediction systems in software project estimation
Information and Software Technology
Privacy and utility for defect prediction: experiments with MORPH
Proceedings of the 34th International Conference on Software Engineering
Web effort estimation: the value of cross-company data set compared to single-company data set
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Size doesn't matter?: on the value of software size features for effort estimation
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Empirical Software Engineering
Software mining and fault prediction
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
International Journal of Intelligent Information Technologies
Gaps between industry expectations and the abilities of graduates
Proceeding of the 44th ACM technical symposium on Computer science education
Application of knowledge-based approaches in software architecture: A systematic mapping study
Information and Software Technology
A systematic review of design diversity-based solutions for fault-tolerant SOAs
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
An ecological perspective towards the evolution of quantitative studies in software engineering
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
Empirical evaluation of the effects of mixed project data on learning defect predictors
Information and Software Technology
A formal approach to technical debt decision making
Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures
Better cross company defect prediction
Proceedings of the 10th Working Conference on Mining Software Repositories
Diversity in software engineering research
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
The impact of parameter tuning on software effort estimation using learning machines
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Building a second opinion: learning cross-company data
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Finding conclusion stability for selecting the best effort predictor in software effort estimation
Automated Software Engineering
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The objective of this paper is to determine under what circumstances individual organizations would be able to rely on cross-company-based estimation models. We performed a systematic review of studies that compared predictions from cross-company models with predictions from within-company models based on analysis of project data. Ten papers compared cross-company and within-company estimation models; however, only seven presented independent results. Of those seven, three found that cross-company models were not significantly different from within-company models, and four found that cross-company models were significantly worse than within-company models. Experimental procedures used by the studies differed making it impossible to undertake formal meta-analysis of the results. The main trend distinguishing study results was that studies with small within-company data sets (i.e.,