Estimation of Software Development Effort from Requirements Based Complexity

被引:16
|
作者
Sharma, Ashish [1 ]
Kushwaha, Dharmender Singh [2 ]
机构
[1] GLA Univ, Dept Comp Engg & Applicat, Mathura 281406, India
[2] Motilal Nehru Natl Inst Technol, Dept Comp Sci & Engg, Allahabad, Uttar Pradesh, India
关键词
Improved requirement based complexity; Requirement based development effort function point; IEEE-830:1998; Requirement based development effort; Software Requirement Specification (SRS);
D O I
10.1016/j.protcy.2012.05.116
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Software development effort estimation deals with predicting the effort required to develop quality software. The efficient software development requires accurate estimates, because inappropriate estimates causes' trouble during the implementation of software processes. Hence, this paper aims to propose a measure for the estimation of software development effort (SDE) on the basis of requirement based complexity of yet to be developed software. The requirement based complexity has its basis on software requirements specification (SRS) of the proposed software, in order to carry out a systematic and accurate estimation of SDE. For validation purpose, the proposed SDE measure is also categorically compared with various other established SDE estimation practices proposed in the past like algorithmic models, function point count, use case point and lines of code (LOC). The result obtained validates the claim that the proposed SDE measure is systematic, comprehensive one and compares well with other prevalent SDE measures. Hence, it is even more useful because the complexity and SDE estimates are obtained at very early stage of software development life cycle (SDLC) as compared to other software development effort practices proposed in the past. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of C3IT
引用
收藏
页码:716 / 722
页数:7
相关论文
共 50 条
  • [41] Fuzzy Based PSO for Software Effort Estimation
    Reddy, P. V. G. D. Prasad
    Hari, Ch V. M. K.
    [J]. INFORMATION TECHNOLOGY AND MOBILE COMMUNICATION, 2011, 147 : 227 - +
  • [42] SRS Based Estimation of Software Maintenance Effort
    Tripathi, Aprna
    Kumar, Bhuvnesh
    Sharma, Ashish
    Kushwaha, Dharmender Singh
    [J]. 2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGY (ICCCT), 2012, : 154 - 155
  • [43] Significant Factors in Agile Software Development of Effort Estimation
    Sudarmaningtyas, Pantjawati
    Mohamed, Rozlina
    [J]. PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2022, 30 (04): : 2851 - 2878
  • [44] Heterogeneous Ensemble Imputation for Software Development Effort Estimation
    Abnane, Ibtissam
    Idri, Ali
    Hosni, Mohamed
    Abran, Alain
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PREDICTIVE MODELS AND DATA ANALYTICS IN SOFTWARE ENGINEERING (PROMISE '21), 2021, : 1 - 10
  • [45] Improved measurement of software development effort estimation bias
    Jorgensen, Magne
    [J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2023, 157
  • [46] DIMENSIONALITY REDUCTION IN SOFTWARE-DEVELOPMENT EFFORT ESTIMATION
    SUBRAMANIAN, GH
    BRESLAWSKI, S
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 1993, 21 (02) : 187 - 196
  • [47] Effort Estimation in Global Software Development - A Systematic Review
    Wickramaarachchi, Dilani
    Lai, Richard
    [J]. COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2017, 14 (02) : 393 - 421
  • [48] Spectral Clustering Effect in Software Development Effort Estimation
    Silhavy, Petr
    Silhavy, Radek
    Prokopova, Zdenka
    [J]. SYMMETRY-BASEL, 2021, 13 (11):
  • [49] Software development effort estimation: a systematic mapping study
    Eduardo Carbonera, Carlos
    Farias, Kleinner
    Bischoff, Vinicius
    [J]. IET SOFTWARE, 2020, 14 (04) : 328 - 344
  • [50] Influence of Outliers on Estimation Accuracy of Software Development Effort
    Ono, Kenichi
    Tsunoda, Masateru
    Monden, Akito
    Matsumoto, Kenichi
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2021, E104D (01) : 91 - 105