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
Pommes: a tool for quantitative project management
Download
index.pdf
Date
2005
Author
Bozkurt, Candaş
Metadata
Show full item record
Item Usage Stats
184
views
77
downloads
Cite This
Metric collection process and Project Management activities cannot be performed in an integrated fashion on most of the software projects. In software engineering world, there are Project Management Tools that has embedded project metrics and there are various Metric Collection Tools that collect specific metrics for satisfying requirements of different software life cycle phase activities (Configuration Management, Requirements Management, Application Development tools etc.). These tools however are not communicating with each other with any interface or any common database. This thesis focuses on the development of a tool to define, export, collect and use metrics for software project planning, tracking and oversight processes. To satisfy these objectives, POMMES with functionalities of Generic Metric Definition, Collection, Analysis, and Import, Update and Export of Project Metrics from 3rd Party Project Management Tools is developed and implemented in a software organization during this thesis work.
Subject Keywords
General Biology.
,
Quantitative Project Management
,
Metric
,
Software Project Monitoring and Control
,
Goal-Question-Metric (GQM) Methodology
,
POMMES
URI
http://etd.lib.metu.edu.tr/upload/12606030/index.pdf
https://hdl.handle.net/11511/15088
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
Time-based workflow mining
Cantürk, Deniz; Çiçekli, Fehime Nihan; Department of Computer Engineering (2005)
Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. Therefore, new techniques for discovering workflow models have been required. Starting point for such techniques are so-called أworkflow l...
A Method to decrease common problems in effort data collection in the software industry
Özkaya Eren, Ayşegül; Demirörs, Onur; Department of Information Systems (2012)
Efficient project planning and project management is crucial to complete the software projects in expected time and requirements. The most critical stage in project planning is estimation of the software size, time and budget. In this stage, effort data is used for benchmarking data sets, effort estimation, project monitoring and controlling. However, there are some problems related to effort data collection in the software industry. In this thesis, a pilot study and survey study are conducted to observe co...
Use of project similarity for software development time estimation
Taştekin, Semra Yilmaz; Bilgen, Semih; Erten, Murat; Department of Information Systems (2013)
Accurate development time estimation is crucial for project management in general, and critical for software intensive systems projects, in particular. Before beginning the project, little information is available for development details. Therefore, development time may not be estimated correctly. If data on previous projects in the same domain is available, this can be used for development time estimations. At the beginning of the project, requirements are defined and requirements specification document is...
An Automated defect detection approach for cosmic functional size measurement
Yılmaz, Gökçen; Demirörs, Onur; Department of Information Systems (2012)
Software size measurement provides a basis for software project management and plays an important role for its activities such as project management estimations, process benchmarking, and quality control. As size can be measured with functional size measurement (FSM) methods in the early phases of the software projects, functionality is one of the most frequently used metric. On the other hand, FSMs are being criticized by being subjective. The main aim of this thesis is increasing the accuracy of the measu...
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...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Bozkurt, “Pommes: a tool for quantitative project management,” M.S. - Master of Science, Middle East Technical University, 2005.