Automating process discovery through event-data analysis
Proceedings of the 17th international conference on Software engineering
Identification of Dynamic Comprehension Processes During Large Scale Maintenance
IEEE Transactions on Software Engineering - Special issue: best papers of the 17th International Conference on Software Engineering (ICSE-17)
Comprehension processes during large scale maintenance
ICSE '94 Proceedings of the 16th international conference on Software engineering
Program understanding behaviour during enhancement of large-scale software
Journal of Software Maintenance: Research and Practice
A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models
IEEE Transactions on Software Engineering
A Coding Scheme to Support Systematic Analysis of Software Comprehension
IEEE Transactions on Software Engineering
Program understanding behavior during corrective maintenance of large-scale software
International Journal of Human-Computer Studies - Best of empirical studies of programmers 7
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
An evaluation of the paired comparisons method for software sizing
Proceedings of the 22nd international conference on Software engineering
Assessing the Changeability of two Object-Oriented Design Alternatives—a Controlled Experiment
Empirical Software Engineering
The Prediction Ability of Experienced Software Maintainers
CSMR '00 Proceedings of the Conference on Software Maintenance and Reengineering
How Do Program Understanding Tools Affect How Programmers Understand Programs
WCRE '97 Proceedings of the Fourth Working Conference on Reverse Engineering (WCRE '97)
On the Role of Hypotheses during Opportunistic Understanding While Porting Large Scale Code
WPC '96 Proceedings of the 4th International Workshop on Program Comprehension (WPC '96)
Delocalized Plans and Program Comprehension
IEEE Software
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Good effort estimation is considered a key success factor for competitive software creation services. In this study, task level effort estimation by project leaders and software designers have been investigated in two Internet software service companies through an experiment. Protocol analysis of 27 think-aloud estimations of effort required for consecutive change tasks on a small Java program have been analysed, using the AFECS coding scheme. Results indicate that a) effort estimation at the task level is very different depending on the individual, even when small problems are addressed; b) AFECS seems be appropriate to use as a coding scheme when assessing program comprehension behaviour for the purpose of effort estimation; c) protocol analysis of comprehension during effort estimation does not necessarily capture all process elements. These results can be used to further guide detailed analysis of individual task level effort estimation, as can a set of high-level estimation events indicated in this study.