Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A unification model and tool support for software functional size measurement methods
Download
index.pdf
Date
2006
Author
Efe, Pınar
Metadata
Show full item record
Item Usage Stats
266
views
78
downloads
Cite This
Software size estimation/measurement has been the objective of a lot of research in the software engineering community due to the need of reliable size estimates. FSM Methods have become widely used in software project management to measure the functional size of software since its first publication, late 1970s. Although all FSM methods measure the functional size by quantifying the FURs, each method defined its own measurement process and metric. Therefore, a piece of software has several functional sizes when measured by different methods. In order to be able to compare functional sizes of software products measured by different methods, we need to convert them to each other. In this thesis study, the similarities and differences between four FSM methods, IFPUG FPA, Mark II FPA, COSMIC FFP and ARCHI DIM FSM are investigated and the common core concepts are presented. Accordingly a unification model of the measurement process of all four methods is proposed. The main objective of this model is to measure the functional size of a software system by applying all four methods simultaneously, using a single source of data. In order to have an infrastructure to validate the unification model by conducting empirical studies, a software tool is designed and implemented based on the unification model. Two empirical studies are conducted by utilizing the data of a real project to evaluate both the unification model proposed and the developed tool and the measurement results are discussed.
Subject Keywords
Information Systems.
,
Computer Software.
URI
http://etd.lib.metu.edu.tr/upload/12607467/index.pdf
https://hdl.handle.net/11511/16404
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
A Software benchmarking methodology for effort estimation
Nabi, Mina; Demirörs, Onur; Department of Information Systems (2012)
Software project managers usually use benchmarking repositories to estimate effort, cost, and duration of the software development which will be used to appropriately plan, monitor and control the project activities. In addition, precision of benchmarking repositories is a critical factor in software effort estimation process which plays subsequently a critical role in the success of the software development project. In order to construct such a precise benchmarking data repository, it is important to have ...
A comparison of size estimation techniques applied early in the life cycle
Demirörs, Onur; Gencel, C (2004-01-01)
Timing is one of the most critical factors of software size estimation. We need to know quite a bit about the software project to make a meaningful size estimate. However, most of the software estimates should be performed at the beginning of the life cycle, when we do not yet know the problem we are going to solve. In the literature, there are few early size estimation methods. This study demonstrates the results of size estimation methods utilized on a large software intensive military application within ...
An Agile business process software development methodology
Çulha, Davut; Doğru, Ali Hikmet; Department of Computer Engineering (2014)
An agile business process software development methodology is proposed, developed and tested in this research. To speed up the business process software development practices in the organization and to address the requirements more efficiently, an agile approach was adapted. Two new processes were developed using the new methodology. The improvement was assessed by utilizing nine older developments: A formula was developed in this research that estimates the development efforts for old business process soft...
An Error prevention model for cosmic functional size measurement method
Salmanoğlu, Murat; Demirörs, Onur; Department of Information Systems (2012)
Estimation and measurement of the size of software is crucial for project management activities. Functional size measurement is one of the most frequently used methods to measure size of software and COSMIC is one of the popular methods for functional size measurement. Although precise size measurement is critical, the results may differ because of the errors made in the measurement process. The erroneous measurement results cause lack of confidence for the methods as well as reliability problems for effort...
A Decision support model for adopting software product line engineering /
Tüzün, Eray; Bilgen, Semih; Tekinerdoğan, Bekir; Department of Information Systems (2014)
The software product line engineering (SPLE) community has provided several different approaches for assessing the feasibility of SPLE adoption and selecting transition strategies. These approaches usually include many rules and guidelines which are very often implicit or scattered over different publications. Hence, for the practitioners it is not always easy to select and use these rules to support the decision-making process. To support the decision-making process in SPLE adoption, a decision support mod...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
P. Efe, “A unification model and tool support for software functional size measurement methods,” M.S. - Master of Science, Middle East Technical University, 2006.