What does it take to develop a million lines of open source code?

IFIP Advances in Information and Communication Technology

Volumn 299, Issue , 2009, Pages 170-184

  Fernandez Ramil, Juan ^a,c   Izquierdo Cortazar, Daniel ^b   Mens, Tom ^c  

^a UNIVERSITY OF MONS   (Belgium)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

^c OPEN UNIVERSITY   (United Kingdom)

Author keywords

Baselines; COCOMO; Complexity; Cost; Economics; Effort estimation; Effort operationalisation; Empirical studies; Free software; Large software; Metrics; Open source; Productivity; Software evolution

Indexed keywords

COST ESTIMATING; COSTS; ECONOMICS; OPEN SYSTEMS; PRODUCTIVITY; REGRESSION ANALYSIS; STATISTICS;

BASELINES; COCOMO; COMPLEXITY; EFFORT ESTIMATION; EFFORT OPERATIONALISATION; EMPIRICAL STUDIES; FREE SOFTWARE; METRICS; OPEN SOURCES; SOFTWARE EVOLUTION;

OPEN SOURCE SOFTWARE;

EID: 79959873629     PISSN: 18684238     EISSN: 1868422X     Source Type: Book Series    
DOI: 10.1007/978-3-642-02032-2_16     Document Type: Conference Paper

References (23)

1. Amor, J. J., Robles, G., Gonzalez-Barahona, J. M.: Effort estimation by characterizing developer activity. In: EDSER 2006: Proceedings of the 2006 international workshop on economics driven software engineering research, pp. 3-6. ACM, New York (2006).
2. Bellon, S., Koschke, R., Antoniol, G., Krinke, J., Merlo, E. M.: Comparison and evaluation of clone detection tools. IEEE Trans. Software Engineering, 577-591 (2007).
3. Boehm, B.: Software Engineering Economics. Prentice Hall, Englewood Cliffs (1981).
4. Boehm, B. W., Abts, C., Brown, A. W., Chulani, S., Clark, B. K., Horowitz, E., Madachy, R., Reifer, D. J., Steece, B.: Software Cost Estimation with COCOMO II. Prentice Hall, Englewood Cliffs (2000).
5. Concas, G., Marchesi, M., Pinna, S., Serra, N.: Power-laws in a large object-oriented software system. IEEE Trans. Software Engineering 33(10), 687-708 (2007).
6. Feitelson, D. G., Heller, G. Z., Schach, S. R.: An empirically-based criterion for determining the success of an open-source project. In: Proc. Australian Software Engineering Conf. (ASWEC), p. 6 (2006).
7. Fernandez-Ramil, J., Izquierdo-Cortazar, D., Mens, T.: Relationship between size, effort, duration and number of contributors in large floss projects. In: Proc. of BENEVOL 2008, 7th BElgian-NEtherlands software eVOLution workshop. Technical Report, Eindhoven, Eindhoven University of Technology, The Netherlands (2008).
8. Fernandez-Ramil, J., Lozano, A., Wermelinger, M., Capiluppi, A.: Empirical studies of open source evolution. In: Mens, T., Demeyer, S. (eds.) Software Evolution, pp. 263-288. Springer, Heidelberg (2008).
9. Herraiz, I., Robles, G., Gonzalez-Barahona, J. M., Capiluppi, A., Ramil, J. F.: Comparison between SLOCs and number of files as size metrics for software evolution analysis. In: Proc. European Conf. Software Maintenance and Reengineering (CSMR), Bari, Italy, pp. 206-213 (2006).
10. Izquierdo-Cortazar, D., Robles, G., Ortega, F., Gonzalez-Barahona, J.: Using software archaelogy to measure knowledge loss in software projects due to developer turnover. In: Proceedings of the Hawaii International Conference on System Sciences (HICSS-42), Hawaii, USA (2009).
11. Koch, S.: Exploring the Effects of Coordination and Communication Tools on the Efficiency of Open Source Projects using Data Envelopment Analysis. In: Open Source Development, Adoption and Innovation. IFIP International Federation for Information Processing, vol. 234, pp. 97-108. Springer, Boston (2007).
12. Koch, S.: Effort modelling and programmer participation in open source software projects. Information Economics and Policy 20(4), 345-355 (2008).
13. Koch, S.: Exploring the effects of SourceForge. net coordination and communication tools on the efficiency of open source projects using data envelopment analysis. Empirical Software Engineering (forthcoming, 2009), doi: 10. 1007/s10664-008-9086-4.
14. Lawrence, K. D., Arthur, J. L.: Robust Regression: Analysis and Applications. CRC Press, Boca Raton (1990).
15. Lehman, M. M., Belady, L. A. (eds.): Program Evolution: Processes of Software Change. Apic Studies In Data Processing. Academic Press, London (1985), http://w3. umh. ac. be/evol/publications/books. html.
16. Lehman, M. M., Ramil, J. F., Sandler, U.: An approach to modelling long-term growth trends in software systems. In: Proc. Int'l. Conf. Software Maintenance (ICSM), pp. 219-228 (2001), doi: 10. 1109/ICSM. 2001. 972735.
17. Mockus, A., Fielding, R. T., Herbsleb, J. D.: Two case studies of Open Source software development: Apache and Mozilla. ACM Transactions on Software Engineering and Methodology 11(3), 309-346 (2002).
18. Molokken, K., Jorgensen, M.: A review of surveys of software effort estimation. In: ISESE 2003: Proceedings of the 2003 International Symposium on Empirical Software Engineering, Washington, DC, USA, pp. 223-230. IEEE Computer Society, Los Alamitos (2003).
19. Scacchi, W., Feller, J., Fitzgerald, B., Hissam, S., Lakhani, K.: Understanding free/open source software development processes. Software Process: Improvement and Practice 11(2), 95-105 (2006).
20. Van Rysselberghe, F., Rieger, M., Demeyer, S.: Detecting move operations in versioning information. In: Proc. European Conf. Software Maintenance and Reengineering (CSMR), pp. 271-278. IEEE Computer Society Press, Los Alamitos (2006).
21. Wolverton, R. W.: The cost of developing large-scale software. IEEE Trans. Computers C-23(6), 615-636 (1974).
22. Xing, Z., Stroulia, E.: Refactoring practice: How it is and how it should be supported-an eclipse case study. In: Proc. Int'l. Conf. Software Maintenance (ICSM), pp. 458-468. IEEE Computer Society Press, Los Alamitos (2006).
23. Yu, L.: Indirectly predicting the maintenance effort of open-source software. Journal of Software Maintenance and Evolution: Research and Practice 18(5), 311-332 (2006).