Quantifying requirements volatility effects
Tóm tắt
Từ khóa
Tài liệu tham khảo
D.A. Adamo, S. Fabrizi, M.G. Vergati, A light functional dimension estimation model for software maintenance, in: E. Chikofsky, R. Kazman, C. Verhoef, (Eds.) Proceedings of the first IEEE International Conference on Exploring Quantifiable Information Technology Yields, EQUITY 2007, 2007
A.J. Albrecht, Measuring application development productivity, in: Proceedings of the Joint SHARE/GUIDE/IBM Application Development Symposium, 1979, pp. 83—92
Albrecht, 1983, Software function, source lines of code, and development effort prediction: A software science validation, IEEE Transactions on Software Engineering, 9, 639, 10.1109/TSE.1983.235271
Anthes, 1994, No more creeps! are you a victim of creeping user requirements?, Computerworld, 28, 107
Arranga, 2000, In cobol’s defense, IEEE Software, 17
Barry, 2003, A comparison of traditional and multimedia information systems development practices, Information and Software Technology, 45, 217, 10.1016/S0950-5849(02)00207-0
Boehm, 1981
Brooks, 1995
Charette, 1996, Large-scale project management is risk management, IEEE Software, 13, 110, 10.1109/52.526838
Corless, 1996, On the lambert W function, Advances in Computational Mathematics, 5, 329, 10.1007/BF02124750
Costello, 1995, Metrics for requirements engineering, Journal of Systems Software, 29, 39, 10.1016/0164-1212(94)00127-9
Davis, 1993
Dreger, 1989
Gerald L. Dillingham, et al. Report to congressional requesters: NATIONAL AIRSPACE SYSTEM — FAA has made progress but continues to face challenges in acquiring major air traffic control systems, Technical Report, United States Government Accountability Office, US GAO, GAO-05-331, 2005
Mark O. Hatfield, et al. AIR TRAFFIC CONTROL — status of FAA’s modernization program, Technical Report, United States General Accounting Office, US GAO, GAO/RCED-95-175FS, 1995
Euler, 1783, De serie Lambertina plurimisque eius insignibus proprietatibus, Acta AcademiæScientarum Imperialis Petropolitinæ, 29
FAA. Blueprint for NAS modernization 2002 update. Available via: www.faa.gov/nasarchitecture/Blueprint2002.htm.
Faust, 2003, Software product line migration and deployment, Software–Practice and Experience, 33, 933, 10.1002/spe.530
Frasera, 2005, The reengineering of a software system for glaucoma analysis, Computer Methods and Programs in Biomedicine, 79, 97, 10.1016/j.cmpb.2005.01.002
Garmus, 2001
Gause, 1989
Glass, 1981, Persistent software errors, IEEE Transactions on Software Engineering, 7, 162, 10.1109/TSE.1981.230831
Glass, 1998
Hammer, 1998, Doing requirements right the first time, CROSSTALK The Journal of Defense Software Engineering, 20
Harker, 1993, The change and evolution of requirements as a challenge to the practice of software engineering, 266
Henry, 1993, Quantitative assessment of the software maintenance process and requirements volatility, 346
Houston, 2001, Stochastic simulation of risk factor potential effects for software development risk management, Journal of Systems and Software, 59, 247, 10.1016/S0164-1212(01)00066-8
International function point users group, Software engineering ifpug 4.1 unadjusted functional size measurement method counting practices manual, Technical Report ISO/IEC 20926:2003, International Standardization Organization. www.iso.org, November 2003
Jackson, 1995
Jalote, 2004, Timeboxing: A process model for iterative software development, Journal of Systems and Software, 70, 117, 10.1016/S0164-1212(03)00010-4
Javed, 2004, A study to investigate the impact of requirements instability on software defects, ACM Software Engineering Notes, 29, 1, 10.1145/986710.986727
Jeffery, 1993, A comparison of function point counting techniques, IEEE Transactions on Software Engineering, 19, 529, 10.1109/32.232016
Jones, 1996
Jones, 1996
Jones, 1998
Jones, 2000
C. Jones, Conflict and litigation between software clients and developers, 2001. Version 10–April 13. Technical Note
Jones, 2007
Kemerer, 1993, Reliability of function points measurement — a field experiment, Communications of the ACM, 36, 85, 10.1145/151220.151230
Kemerer, 1992, Improving the reliability of function point measurement: An empirical study, IEEE Transactions on Software Engineering, SE-18, 1011, 10.1109/32.177370
Kerr, 2006, The effect of rapid rural industry changes on the development of a decision support system for dairy farmers in Australia, Computers and Electronics in Agriculture, 50, 61, 10.1016/j.compag.2005.09.001
Kettunen, 2005, How to steer an embedded software project: Tactics for selecting the software process model, Information and Software Technology, 47, 587, 10.1016/j.infsof.2004.11.001
Kotonya, 1998
Lambert, 1758, Observationes variae in mathesin puram, Acta Helvetica Physico-Mathematico-Anatomico-Botanico-Medica, III, 128
Laymana, 2006, Essential communication practices for Extreme Programming in a global software development team, Information and Software Technology, 48, 781, 10.1016/j.infsof.2006.01.004
Leffingwell, 1997, Calculating the return on investment from more effective requirements management, American Programmer, 10, 13
Annabella Loconsole, Definition and validation of requirements management measures. Ph.D. Thesis, Umeå University, 2007
Loconsole, 2005, An industrial case study on requirements volatility measures, 249
Lorenzi, 2003, Organizational ISSUES=change, International Journal of Medical Informatics, 69, 197, 10.1016/S1386-5056(02)00105-3
Yashwant K. Malaiya, Jason Denton, Requirements volatility and defect density, in: Proceedings of the 10th International Symposium on Software Reliability Engineering, 1998, pp. 285–294
Mendes, 2002, Comparison of Web size measures for predicting Web design and authoring effort, IEE Proceedings Software, 149, 86, 10.1049/ip-sen:20020337
Nurmuliani, 2004, Analysis of requirements volatility during software development life cycle, 28
Fra Luca Bartolomeo de Pacioli, Summa de arithmetica, geometrica, proportioni et proportionalita. Venice, 1494. Available via: http://www.cs.vu.nl/~x/yield/yield.pdf
R.J. Peters, C. Verhoef, Quantifying the yield of risk-bearing IT-portfolios, 2007. Available via: http://www.cs.vu.nl/x/yield/yield.pdf
Putnam, 1992
L.H. Putnam, D.T. Putnam, A Data verification of the Software Fourth Power Trade-Off Law, in: Proceedings of the International Society of Parametric Analysts–Sixth Annual Conference, volume III(I), 1984, pp. 443–471
Ramosa, 2005, Requirements engineering for organizational transformation, Information and Software Technology, 47, 479, 10.1016/j.infsof.2004.09.014
Robertson, 2004
Robertson, 2006
L. Rosenberg, L. Hyatt, Developing an effective metrics program, in: Proceedings of the European Space Agency Software Assurance Symposium, The Netherlands, 1996
Ross, 2000
Sheldon, 1992, Reliability measurement: From theory to practice, IEEE Software, 9, 13, 10.1109/52.143095
Harry M. Sneed, Peter Brössler, Critical success factors in software maintenance: A case study, in: Proceedings of the International Conference on Software Maintenance, ICSM ’03, 2003, pp. 190–198
Sommerville, 1997
Stapleton, 2003
Stapleton, 1997
Stark, 1999, An examination of the effects of requirements changes on software maintenance releases, Journal of Systems Software Maintenance: Research and Practice, 11, 293, 10.1002/(SICI)1096-908X(199909/10)11:5<293::AID-SMR198>3.0.CO;2-R
Stark, 1998, An examination of the effects of requirements changes on software releases, CROSSTALK The Journal of Defense Software Engineering, 11
Martin J. Steele, Mansooreh Mollaghasemi Ghaith Rabadi, Grant Cates, Generic simulation models of reusable launch vehicles, in: Proceedings of the 34th Conference on Winter Simulation: Exploring New Frontiers, Winter Simulation Conference, 2002, pp. 747–753
Takahashi, 1989, An empirical study of a model for program error prediction, IEEE Transactions on Software Engineering, 15, 82, 10.1109/32.21729
Tavolato, 1984, A prototyping methodology and its tool
Tukey, 1977
Verhoef, 2002, Quantitative IT portfolio management, Science of Computer Programming, 45, 1, 10.1016/S0167-6423(02)00106-5
C. Verhoef, Quantifying software process improvement, 2004. Available via: www.cs.vu.nl/~x/spi/spi.pdf
Verhoef, 2005, Quantifying the Value of IT-investments, Science of Computer Programming, 56, 315, 10.1016/j.scico.2004.08.004
Verhoef, 2007, Quantifying the effects of IT-governance rules, Science of Computer Programming, 67, 247, 10.1016/j.scico.2007.01.010
Watson, 2004, Data warehouse governance: Best practices at Blue Cross and Blue Shield of North Carolina, Decision Support Systems, 38, 435, 10.1016/j.dss.2003.06.001
Weigel, 2003, Interaction of policy choices and technical requirements for a space transportation infrastructure, Acta Astronautica, 52, 551, 10.1016/S0094-5765(02)00122-4
Weinberg, 1995, Just say no! improving the requirements process, American Programmer, 8, 19
G.M. Weinberg, Quality Software Management: Volume 2 First-Order Measurement, Dorset House, 1993
White, 2006, External disturbance control for software project management, International Journal of Project Management, 24, 127, 10.1016/j.ijproman.2005.07.002
Wiegers, 2003
Wikipedia. Bancassurance, Wikipedia http://en.wikipedia.org/wiki/Bancassurance, 2008 (accessed 01. 02. 2008)
Didar Zowghi, N. Nurmuliani, A study of the impact of requirements volatility on software project performance, in: Proceedings of the Ninth Asia-Pacific Software Engineering Conference, APSEC’02, 2002, p. 3