A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Software development life cycle early phases and quality metrics: a systematic literature review

S Ergasheva, A Kruglov - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Most of the currently used software development metrics are concentrated on the latter
stages like development and testing. However, early revealing of errors during the SDLC …

Consensus measure with multi-stage fluctuation utility based on China's urban demolition negotiation

Z Gong, C Xu, F Chiclana, X Xu - Group Decision and Negotiation, 2017 - Springer
Utility functions are often used to reflect decision makers'(DMs') preferences. They have the
following two merits: one refers to the representation of the DM's utility (satisfaction) level …

[HTML][HTML] The deck of cards method to build interpretable fuzzy sets in decision-making

D García-Zamora, B Dutta, JR Figueira… - European Journal of …, 2024 - Elsevier
This paper deals with the construction of interpretable fuzzy sets by following a socio-
technical-based approach, where two key actors, the (decision) analyst, and the decision …

Comprehensive Bibliographic Survey and Forward-looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction …

M Mustaqeem, M Alam, S Mustajab, F Alshanketi… - IEEE …, 2024 - ieeexplore.ieee.org
The development of reliable software depends heavily on the effective collaboration
between teams responsible for development and testing. Despite ongoing efforts, many …

Implementation of neutrosophic function memberships using MATLAB program

S Broumi, D Nagarajan, A Bakali, M Talea… - Infinite …, 2019 - books.google.com
Membership function (MF) plays a key role for getting an output of a system and hence it
influences system's performance directly. Therefore choosing a MF is an essential task in …

Metrics in automotive software development: A systematic literature review

M Vogel, P Knapik, M Cohrs… - Journal of software …, 2021 - Wiley Online Library
Software is an integrated part of new features within the automotive sector, car
manufacturers, the Hersteller Initiative Software (HIS) consortium defined metrics to …

IFC-Filter: Membership function generation for inductive fuzzy classification

M Kaufmann, A Meier, K Stoffel - Expert Systems with applications, 2015 - Elsevier
Fuzzy classification can be defined as a method of computing the degrees of membership of
objects in classes. There are many approaches to fuzzy classification, most of which …

A novel risk assessment and analysis method for correlation in a complex system based on multi-dimensional theory

Z Jiang, T Zhao, S Wang, F Ren - Applied Sciences, 2020 - mdpi.com
With the rapid development of high integrations in large complex systems, such as aircraft,
satellite, and railway systems, due to the increasingly complex coupling relationship …

On general framework of type-1 membership function construction: case study in QoS planning

J Miliauskaitė, D Kalibatiene - International Journal of Fuzzy Systems, 2020 - Springer
Fuzzy approaches that are proposed to describe uncertain, impressive or vague concepts,
are based on the construction of membership function (MF), which reflects what is known …