Deep learning based software defect prediction

L Qiao, X Li, Q Umer, P Guo - Neurocomputing, 2020 - Elsevier
Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

[PDF][PDF] A study on software metrics based software defect prediction using data mining and machine learning techniques

MC Prasad, L Florence, A Arya - International Journal of Database …, 2015 - academia.edu
Software quality is a field of study and practice that describes the desirable attributes of
software products. The performance must be perfect without any defects. Software quality …

Detecting high risk taxpayers using data mining techniques

MS Rad, A Shahbahrami - 2016 2nd International Conference …, 2016 - ieeexplore.ieee.org
Risk refers to a set of events that lead to loss but risk from the tax perspective refers to the
taxpayers' behaviors that may lead to negligence from the public property by the taxpayers …

Data mining and machine learning for software engineering

EO Kiyak - Data Mining-Methods, Applications and Systems, 2020 - books.google.com
Software engineering is one of the most utilizable research areas for data mining.
Developers have attempted to improve software quality by mining and analyzing software …

High performance implementation of tax fraud detection algorithm

MS Rad, A Shahbahrami - 2015 Signal Processing and …, 2015 - ieeexplore.ieee.org
Tax fraud includes a large spectrum of methods to deny the facts and realities, claiming
wrong information, and accomplishing financial businesses regardless of what the legal …

Investigation of the effects biochemistry on iron deficiency anemia

T İlaslaner, A Güven - 2019 medical technologies congress …, 2019 - ieeexplore.ieee.org
Iron deficiency is one of the leading health problems of the World Health Organization. It has
been found that there is an anemia caused by iron deficiency of approximately 2 billion. Iron …

Collabcrew—an intelligent tool for dynamic task allocation within a software development team

S Samath, D Udalagama… - 2017 11th …, 2017 - ieeexplore.ieee.org
Currently in the IT industry, the people factor has become very critical when determining the
quality of a software project. It is highly important that the correct person performs the …

Automatic bug classification using machine learning

G Parent - US Patent 10,740,216, 2020 - Google Patents
A machine learning engine can be used to identify inconsistencies and errors in a plurality of
bug reports and to glean new information from the bug reports. Bug data associated with a …

Exploration of neural network models for defect detection and classification

BVA Praskash, DV Ashoka… - International …, 2016 - inderscienceonline.com
In order to overcome the software development challenges like delivering a project on time,
developing quality software products and reducing development cost, software industries …

[图书][B] Failure type prediction in software-related medical device recalls

J Emakhu - 2019 - search.proquest.com
With the existence of cutting-edge technology and research and development present in the
world today, there is elevated expectations that defective product could be minimized, if not …