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Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm
TLDR
A statistical framework based on a multiple comparisons algorithm is proposed in order to rank several cost estimation models, identifying those which have significant differences in accuracy, and clustering them in nonoverlapping groups.
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Competence assessment as an expert system for human resource management: A mathematical approach
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LSEbA: least squares regression and estimation by analogy in a semi-parametric model for software cost estimation
TLDR
A semi-parametric technique, called LSEbA is introduced that achieves to combine the aforementioned methods retaining the advantages of both approaches, and takes advantage of the whole pure information of the dataset even if there is a large amount of missing values.
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Improving analogy-based software cost estimation by a resampling method
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Using Ensembles for Web Effort Estimation
TLDR
While it may not be possible to identify a single best technique, the results suggest that ensembles of estimation techniques consistently perform well even when using Web project data.
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Integrating non-parametric models with linear components for producing software cost estimations
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DD-EbA: An algorithm for determining the number of neighbors in cost estimation by analogy using distance distributions
TLDR
The notion of distributions of distances together with a distance metric for distributions help to adapt the proposed method each time to a specific case that is to be estimated without loosing in prediction power or computational cost.
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Evaluating the agreement among technical debt measurement tools: building an empirical benchmark of technical debt liabilities
TLDR
This study evaluates the degree of agreement among leading TD assessment tools and proposes a framework to capture the diversity of the examined tools with the aim of identifying few “ reference assessments ” representing characteristic cases of classes/files with respect to their level of TD.
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Alternative methods using similarities in software effort estimation
TLDR
The existing weighting practices are reviewed and some new iterative procedures from matrix algebra are explored, which transform a similarity matrix to a bi-stochastic matrix (a matrix with row and column summing to 1) in order to derive matrices that assign weights to the neighbors used for effort estimates.
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Mining People Analytics from StackOverflow Job Advertisements
TLDR
The main objective of this paper is the proposal of a framework aiming to collect online job advertisements from a web source which concerns IT job offers and to extract from the raw text the required skills and competences for specific jobs.
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