Requirements Effort Estimation: The State of the Practice

Mohamad Kassab and Giuseppe Destefanis
Additional contact information
Mohamad Kassab: The Pennsylvania State University
Giuseppe Destefanis: CRIM, Computer Research Institute of Montreal

Collegium of Economic Analysis Annals, 2017, issue 43, 87-102

Abstract: Estimating the effort is an important task in software project management. A realistic effort estimation right from the start in a project gives the project manager confidence about any future course of action, since many of the decisions made during development depend on, or are influenced by, the initial effort estimations. Nevertheless, little contemporary data exists for documenting actual practices of software professionals for requirements effort or size estimation. We have conducted an exploratory survey concerning the state of practice of requirements engineering. In this paper we report the results from this survey that are of particular interest to the software estimation community with an emphasis on linking the reported practices to productivity of the development process and the project’s duration and budget.

Keywords: effort estimation; effort; Requirements Engineering; SDLC; agile (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z43_05.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:43:y:2017:p:87-102

Access Statistics for this article

Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot

More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Michał Bernardelli ().