Effective fault prediction model developed using least square support vector machine (LSSVM)
Software developers and project teams spend considerable amount of time in identifying
and fixing faults reported by testers and users. Predicting defects and identifying regions in …
and fixing faults reported by testers and users. Predicting defects and identifying regions in …
Real-time feedback in node-red for iot development: An empirical study
The continuous spreading of the Internet-of-Things across application domains, aided by the
continuous growth on the number of devices and systems that are Internet-connected …
continuous growth on the number of devices and systems that are Internet-connected …
Towards a metrics suite for the complexity analysis of LabVIEW systems models
X Zhao, J Gray - Science of Computer Programming, 2023 - Elsevier
LabVIEW is a popular commercial modeling tool that is often used in systems engineering.
LabVIEW also includes a special programming language developed for engineers to help …
LabVIEW also includes a special programming language developed for engineers to help …
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project
Video game development increasingly relies on using visual programming languages as the
primary way to build video game features. The aim of using visual programming is to move …
primary way to build video game features. The aim of using visual programming is to move …
Measuring the overall complexity of graphical and textual iec 61131-3 control software
J Fischer, B Vogel-Heuser, H Schneider… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Software implements a significant proportion of functionality in factory automation. Thus,
efficient development and the reuse of software parts, so-called units, enhance …
efficient development and the reuse of software parts, so-called units, enhance …
Empirical analysis on effectiveness of source code metrics for predicting change-proneness
Change-prone classes or modules are defined as software components in the source code
which are likely to change in the future. Change-proneness prediction are useful to the …
which are likely to change in the future. Change-proneness prediction are useful to the …
MICOSE4aPS: industrially applicable maturity metric to improve systematic reuse of control software
automated Production Systems (aPS) are highly complex, mechatronic systems that usually
have to operate reliably for many decades. Standardization and reuse of control software …
have to operate reliably for many decades. Standardization and reuse of control software …
Introduction and evaluation of complexity metrics for network-based, graphical iec 61131-3 programming languages
The development of automated Production Systems (aPS) is an interdisciplinary process,
where an increasing part of the system's functionality is realized in the respective control …
where an increasing part of the system's functionality is realized in the respective control …
Transfer learning for cross-project change-proneness prediction in object-oriented software systems: A feasibility analysis
Change-prone classes or modules are defined as regions of the source code which are
more likely to change as a result of a software development of maintenance activity …
more likely to change as a result of a software development of maintenance activity …
Using source code metrics and multivariate adaptive regression splines to predict maintainability of service oriented software
Prediction of maintainability parameter for Object-Oriented Software using source code
metrics is an area that hasattracted the attention of several researchers in academia …
metrics is an area that hasattracted the attention of several researchers in academia …