Effective fault prediction model developed using least square support vector machine (LSSVM)

L Kumar, SK Sripada, A Sureka, SK Rath - Journal of Systems and Software, 2018 - Elsevier
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 …

Real-time feedback in node-red for iot development: An empirical study

D Torres, JP Dias, A Restivo… - 2020 IEEE/ACM 24th …, 2020 - ieeexplore.ieee.org
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 …

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 …

Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project

K Eng, A Hindle, A Senchenko - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
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 …

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 …

Empirical analysis on effectiveness of source code metrics for predicting change-proneness

L Kumar, SK Rath, A Sureka - Proceedings of the 10th Innovations in …, 2017 - dl.acm.org
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 …

MICOSE4aPS: industrially applicable maturity metric to improve systematic reuse of control software

B Vogel-Heuser, EM Neumann, J Fischer - ACM Transactions on …, 2021 - dl.acm.org
automated Production Systems (aPS) are highly complex, mechatronic systems that usually
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

J Wilch, J Fischer, EM Neumann… - IECON 2019-45th …, 2019 - ieeexplore.ieee.org
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 …

Transfer learning for cross-project change-proneness prediction in object-oriented software systems: A feasibility analysis

L Kumar, RK Behera, S Rath, A Sureka - ACM SIGSOFT Software …, 2017 - dl.acm.org
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 …

Using source code metrics and multivariate adaptive regression splines to predict maintainability of service oriented software

L Kumar, SK Rath, A Sureka - 2017 IEEE 18th international …, 2017 - ieeexplore.ieee.org
Prediction of maintainability parameter for Object-Oriented Software using source code
metrics is an area that hasattracted the attention of several researchers in academia …