• DocumentCode
    146585
  • Title

    A survey on software effort estimation techniques

  • Author

    Rastogi, Harsha ; Dhankhar, Swati ; Kakkar, Misha

  • Author_Institution
    Comput. Sci. & Eng., Amity Univ., Noida, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    826
  • Lastpage
    830
  • Abstract
    A severe problem that impacts the software project is inaccurate estimation of the effort. Estimation of the software development effort remains an intricate problem. The complexity of the software and its scope are increasing alarmingly which attracts many researchers. Past the decades numerous techniques have been introduced and implemented. Many of them have given good results with acceptable error rates. In this paper, a review of general techniques and models regarding effort estimation has been done. Comparison of several approaches is subsumed and the technique that produces the most accurate result serves as a measure of selection. Every technique has its own merits and pitfalls. But there is no single technique that can do away with all the shortcomings and can be globally accepted, so hybridization of several approaches can be seen as an alternative to produce realistic estimates.
  • Keywords
    program diagnostics; project management; software cost estimation; software development management; error rates; software complexity; software development effort estimation techniques; software project; Artificial neural networks; Computational modeling; Estimation; Predictive models; Software; Support vector machines; Unified modeling language; Effort Models; Hybrid Models; Software Effort Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949367
  • Filename
    6949367