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Your search keyword '"Effort Prediction"' showing total 5 results
Start Over Descriptor "Effort Prediction" Topic software engineering
5 results on '"Effort Prediction"'

1. Efficacy of Reported Issue Times as a Means for Effort Estimation

Author

MacLean, Paul Phillip

Subjects
Software, Effort Prediction, Issue Tracking System, Java, Source Code Metrics, Technical Debt, Machine Learning, Other Computer Engineering, Software Engineering
Abstract

Software effort is a measure of manpower dedicated to developing and maintaining and software. Effort estimation can help project managers monitor their software, teams, and timelines. Conversely, improper effort estimation can result in budget overruns, delays, lost contracts, and accumulated Technical Debt (TD). Issue Tracking Systems (ITS) have become mainstream project management tools, with over 65,000 companies using Jira alone. ITS are an untapped resource for issue resolution effort research. Related work investigates issue effort for specific issue types, usually Bugs or similar. They model their developer-documented issue resolution times using features from the issues themselves. This thesis explores a novel issue effort estimation and prediction approach using developer-documented ITS effort in tandem with implementation metrics (commit metrics, package metrics, refactoring metrics, and smell metrics). We find consistent correlations between ITS effort and implementation metrics, ranging from weak to moderate strength. We also construct and evaluate several exploratory models to predict future package effort using our novel effort estimation, with inconclusive results.

Published
2022

2. Estimating Software Project Effort Using Analogies.

Author

Shepperd, Martin and Schofield, Chris

Subjects
*COMPUTER software, *PROJECT management, *ANALOGY, *CASE-based reasoning, *ESTIMATION theory, *SOFTWARE engineering, *ALGORITHMS
Abstract

Accurate project effort prediction is an important goal for the software engineering community. To date most work has focused upon building algorithmic models of effort, for example COCOMO. These can be calibrated to local environments. We describe an alternative approach to estimation based upon the use of analogies. The underlying principle is to characterize projects in terms of features (for example, the number of interfaces, the development method or the size of the functional requirements document). Completed projects are stored and then the problem becomes one of finding the most similar projects to the one for which a prediction is required. Similarity is defined as Euclidean distance in n-dimensional space where n is the number of project features. Each dimension is standardized so all dimensions have equal weight. The known effort values of the nearest neighbors to the new project are then used as the basis for the prediction. The process is automated using a PC-based tool known as ANGEL. The method is validated on nine different industrial datasets (a total of 275 projects) and in all cases analogy outperforms algorithmic models based upon stepwise regression. From this work we argue that estimation by analogy is a viable technique that, at the very least, can be used by project managers to complement current estimation techniques. [ABSTRACT FROM AUTHOR]

Published
1997
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3. 4th International Workshop on Predictor Models in SE (PROMISE 2008).

Author

Boetticher, Gary D., Menzies, Tim, Ostrand, Tom, and Ruhe, Guenther

Subjects
CONFERENCES & conventions, SOFTWARE engineering, PREDICTION models, COMPUTER-aided software engineering, COMPUTERS in engineering
Abstract

The PROMISE workshop seeks to deliver to the software engineering community useful, usable, verifiable, and repeatable models. To provide a sound and realistic basis for creating predictive models, and to allow researchers to conduct repeatable software engineering experiments, we maintain the PROMISE repository, a growing collection that now contains 57 empirically-based data sets. [ABSTRACT FROM AUTHOR]

Published
2008

4. The use of function points to find cost analogies

Author

Atkinson, K and Shepperd, M J

Subjects
effort prediction, cost estimation, function points, analogy, software engineering
Abstract

Finding effective techniques for the early estimation of project effort remains an important — and frustratingly elusive — research objective for the software development community. We have conducted an empirical study of 21 real time projects for a major software developer. The study collected a range of counts and measures derived from specification documents, including a derivative of Function Points intended for highly constrained systems. Notwithstanding the fact that the projects were drawn from a comparatively stable environment, traditional approaches for building prediction systems, (for example, regression analysis) failed to yield a useful predictive model. By contrast, estimation based upon the automated search for analogous projects produced more accurate estimates. How much this is a characteristic of this particular dataset and how much these findings might be more generally replicated is uncertain. Nevertheless, these results should act as encouragement for follow up research on a much under utilised estimation technique.

Published
1994

5. I Believe!

Author

Shull, Forrest

Subjects
*SOFTWARE engineering, *SKEPTICISM, *BELIEF & doubt, *BEST practices
Abstract

Many studies have shown that important factors and key relationships often don't hold up well when transferred from one project to another. To deal with this seeming lack of global truisms in software engineering, it helps to develop a healthy skepticism and find ways to test our beliefs in key development practices against measures collected within the project context. [ABSTRACT FROM PUBLISHER]

Published
2012
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