The conundrum of software estimation models

被引:1
|
作者
Ferens, DV [1 ]
机构
[1] USAF, Res Lab, AFRL, IFSD, Wright Patterson AFB, OH 45433 USA
来源
PROCEEDINGS OF THE IEEE 1998 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE | 1998年
关键词
D O I
10.1109/NAECON.1998.710133
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
There are many sophisticated models and methods for estimating the size, cost, and schedule of software projects. However, the ability to accurately estimate software cost, size, or schedule is still dubious. In general, the predictive accuracy of models for estimating software development cost and schedule has not been shown to be better than "within 25 percent of actual cost or schedule, about one half of the time", especially for Department of Defense software efforts. The same is true for software size estimating models and methods, although there are some studies that have shown superior results. For software support (or maintenance) cost estimation, no model has been demonstrated to be accurate. This paper presents a summary of efforts performed to date which demonstrate the accuracy (or lack thereof) of software models. The results of several studies in the areas of software development cost and schedule estimation, size estimation and support cost estimation are presented to show what these models can and can not do. Some ideas for improvement are also presented, including the results of some studies which may lead to a resolution of the accuracy conundrum which currently exists.
引用
收藏
页码:320 / 328
页数:9
相关论文
共 50 条
  • [41] Neural network based models for software effort estimation: a review
    Dave, Vachik S.
    Dutta, Kamlesh
    ARTIFICIAL INTELLIGENCE REVIEW, 2014, 42 (02) : 295 - 307
  • [42] Mathematical estimation models for hardware and software fault tolerant system
    Jirakittayakorn, P
    Wattanapongsakorn, N
    Coit, D
    Advanced Reliability Modeling, 2004, : 221 - 228
  • [43] A Review of the Regression Models Applicable to Software Project Effort Estimation
    Huynh Thai Hoc
    Vo Van Hai
    Ho Le Thi Kim Nhung
    COMPUTATIONAL STATISTICS AND MATHEMATICAL MODELING METHODS IN INTELLIGENT SYSTEMS, VOL. 2, 2019, 1047 : 399 - 407
  • [44] A Unified Parameter Estimation Algorithm for Discrete Software Reliability Models
    Hiroyuki Okamura
    Atsushi Murayama
    Tadashi Dohi
    OPSEARCH, 2005, 42 (4) : 355 - 377
  • [45] A software for parameter estimation in thin-layer drying models
    Yuceer, M.
    Goz, E.
    Tosun, E.
    LATIN AMERICAN APPLIED RESEARCH, 2024, 54 (03) : 383 - 388
  • [46] Neural network based models for software effort estimation: a review
    Vachik S. Dave
    Kamlesh Dutta
    Artificial Intelligence Review, 2014, 42 : 295 - 307
  • [47] A TEST OF DIFFERENT MODELS FOR THE ESTIMATION OF THE LABOR COSTS OF SOFTWARE PROJECTS
    de Andres, Javier
    Lorca, Pedro
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ACCOUNTING AND MANAGEMENT INFORMATION SYSTEMS (AMIS 2011), 6TH EDITION, 2011, : 679 - 693
  • [48] Incorporating Expert Judgment into Regression Models of Software Effort Estimation
    Tsunoda, Masateru
    Monden, Akito
    Keung, Jacky
    Matsumoto, Kenichi
    2012 19TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC), VOL 1, 2012, : 374 - 379
  • [49] ACCURATE HETEROGENEOUS COMMUNICATION MODELS AND A SOFTWARE TOOL FOR THEIR EFFICIENT ESTIMATION
    Lastovetsky, Alexey
    Rychkov, Vladimir
    O'Flynn, Maureen
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2010, 24 (01): : 34 - 48
  • [50] Singularity of Some Software Reliability Models and Parameter Estimation Method
    XU Ren-zuo
    ZHOU Rui
    YANG Xiao-qing (State Key Laboratory of Software Engineering
    Wuhan University Journal of Natural Sciences, 2000, (01) : 35 - 40