Enablers and inhibitors for speed with reuse

ACM International Conference Proceeding Series

Volumn 1, Issue , 2012, Pages 116-125

  Martini, Antonio ^a   Pareto, Lars ^a   Bosch, Jan ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

Agile software development; Embedded systems; Enablers; Inhibitors; Software process improvement (SPI); Software reuse; Speed

Indexed keywords

AGILE PRACTICES; AGILE SOFTWARE DEVELOPMENT; COMMUNICATION PRACTICES; COMPLEX FACTORS; CURRENT SITUATION; EMPIRICAL INVESTIGATION; ENABLERS; INFLUENCING FACTOR; MULTIPLE-CASE STUDY; NEGATIVE INFLUENCE; PROCESS IMPROVEMENT; PRODUCT DEVELOPING; SOFTWARE PROCESS IMPROVEMENT; SOFTWARE PROCESS IMPROVEMENTS; VARIABILITY MANAGEMENT;

COMPUTER SOFTWARE REUSABILITY; CORROSION INHIBITORS; EMBEDDED SYSTEMS; PRODUCT DEVELOPMENT; PROFITABILITY; SOCIETIES AND INSTITUTIONS; SOFTWARE DESIGN;

SPEED;

EID: 84867464394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2362536.2362554     Document Type: Conference Paper

References (19)

1. Díaz, J., et al., Agile product line engineering-a systematic literature review. Software: Practice and Experience, 2011. 41(8): p. 921-941.
2. Hanssen, G.K. and T.E. Faegri, Process fusion: An industrial case study on agile software product line engineering. Journal of Systems and Software, 2008. 81(6): p. 843-854.
3. McGregor, J.D., Agile software product lines. deconstructed. The Journal of Object Technology, 2008. 7(8): p. 7-19.
4. Petersen, K. and C. Wohlin, A Comparison of Issues and Advantages in Agile and Incremental Development between State of the Art and an Industrial Case. Journal of Systems and Software, 2009. 82(9): p. 1479-1490.
5. Leffingwell, D., Scaling Software Agility: Best Practices for Large Enterprises. 2007: Pearson Education.
6. Miles, M.B. and A.M. Huberman, Qualitative Data Analysis - An Expanded Sourcebook 1994: SAGE Publications, Inc.
7. Strauss, A.L. and J.M. Corbin, Basics of qualitative research : techniques and procedures for developing grounded theory. 2nd ed. 1998, Thousand Oaks: Sage Publications. xiii, 312 p.
8. Martini, A., Factors Influencing Reuse and Speed in Three Organizations, in Research Reports in Software Engineering and Management, L. Pareto, Editor. 2012, University of Gothenburg: Gothenburg.
9. Peterson, D., Economics of software product lines. Software Product-Family Engineering, 2004: p. 381-402.
10. Schmid, K., A quantitative model of the value of architecture in product line adoption. Software Product-Family Engineering, 2004: p. 32-43.
11. Tracz, W., Confessions of a used-program salesman: lessons learned. SIGSOFT Softw. Eng. Notes 1995. 20: p. 11-13.
12. Gaffney, J.E. and R.D. Cruickshank, A general economics model of software reuse, in Proceedings of the 14th international conference on Software engineering. 1992.
13. Morisio, M., M. Ezran, and C. Tully, Success and failure factors in software reuse. Software Engineering, IEEE Transactions on, 2002. 28(4): p. 340-357.
14. Menzies, T. and J.S. Di Stefano, More success and failure factors in software reuse. Software Engineering, IEEE Transactions on, 2003. 29(5): p. 474-477.
15. Lynex, A. and P.J. Layzell, Organisational considerations for software reuse. Annals of Software Engineering, 1998. 5(1).
16. Kakarontzas, G., I. Stamelos, and P. Katsaros, Product Line Variability with Elastic Components and Test-Driven Development. 2008, IEEE. p. 146-151.
17. Ghanam, Y., et al., A report on the XP workshop on agile product line engineering. ACM SIGSOFT Software Engineering Notes, 2009. 34(5).
18. Turk, D., R. France, and B. Rumpe, Limitations of agile software processes, in Third International Conference on eXtreme Programming and Agile Processes in Software Engineering (XP 2002). 2002.
19. Chow, T. and D.B. Cao, A survey study of critical success factors in agile software projects. Journal of Systems and Software, 2008. 81(6): p. 961-971.