Research patterns and trends in software effort estimation

SK Sehra, YS Brar, N Kaur, SS Sehra - Information and Software …, 2017 - Elsevier
Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …

[图书][B] Sharing data and models in software engineering

T Menzies, E Kocaguneli, B Turhan, L Minku, F Peters - 2014 - books.google.com
Data Science for Software Engineering: Sharing Data and Models presents guidance and
procedures for reusing data and models between projects to produce results that are useful …

Local-based active classification of test report to assist crowdsourced testing

J Wang, S Wang, Q Cui, Q Wang - Proceedings of the 31st IEEE/ACM …, 2016 - dl.acm.org
In crowdsourced testing, an important task is to identify the test reports that actually reveal
fault-true fault, from the large number of test reports submitted by crowd workers. Most …

Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects

C López-Martín - Applied Soft Computing, 2015 - Elsevier
To get a better prediction of costs, schedule, and the risks of a software project, it is
necessary to have a more accurate prediction of its development effort. Among the main …

Neural networks for predicting the duration of new software projects

C López-Martín, A Abran - Journal of Systems and Software, 2015 - Elsevier
The duration of software development projects has become a competitive issue: only 39% of
them are finished on time relative to the duration planned originally. The techniques for …

Using Bayesian regression and EM algorithm with missing handling for software effort prediction

W Zhang, Y Yang, Q Wang - Information and software technology, 2015 - Elsevier
Context Although independent imputation techniques are comprehensively studied in
software effort prediction, there are few studies on embedded methods in dealing with …

Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle

T Menzies, W Nichols, F Shull, L Layman - Empirical Software Engineering, 2017 - Springer
Many practitioners and academics believe in a delayed issue effect (DIE); ie the longer an
issue lingers in the system, the more effort it requires to resolve. This belief is often used to …

Cost prediction and software project management

M Shepperd - Software project management in a changing world, 2014 - Springer
This chapter reviews the background and extent of the software project cost prediction
problem. Given the importance of the topic, there has been a great deal of research activity …

Top-cop: Mining top-k strongly correlated pairs in large databases

H Xiong, M Brodie, S Ma - Sixth International Conference on …, 2006 - ieeexplore.ieee.org
Recently, there has been considerable interest in computing strongly correlated pairs in
large databases. Most previous studies require the specification of a minimum correlation …

Competition-aware task routing for contest based crowdsourced software development

Y Fu, H Sun, L Ye - 2017 6th International Workshop on …, 2017 - ieeexplore.ieee.org
In crowdsourced software development, routing a task to right developers is a critical issue
that largely affects the productivity and quality of software. In particular, crowdsourced …