Log4Perf: Suggesting and updating logging locations for web-based systems' performance monitoring

K Yao, GB De Padua, W Shang, C Sporea… - Empirical Software …, 2020 - Springer
Performance assurance activities are an essential step in the release cycle of software
systems. Logs have become one of the most important sources of information that is used to …

Automated detection of software performance antipatterns in Java-based applications

C Trubiani, R Pinciroli, A Biaggi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection of performance issues in Java-based applications is not trivial since many
factors concur to poor performance, and software engineers are not sufficiently supported for …

Empirical study on the discrepancy between performance testing results from virtual and physical environments

MM Arif, W Shang, E Shihab - Empirical Software Engineering, 2018 - Springer
Large software systems often undergo performance tests to ensure their capability to handle
expected loads. These performance tests often consume large amounts of computing …

Kubernetes or openShift? Which technology best suits eclipse hono IoT deployments

M Aly, F Khomh, S Yacout - 2018 IEEE 11th Conference on …, 2018 - ieeexplore.ieee.org
New verticals within the Internet of Things paradigm, ie, smart cities, industrie 4.0, etc.,
require specific platform (s) to allow different components to communicate. The value of the …

Performance regression detection in devops

J Chen - Proceedings of the ACM/IEEE 42nd International …, 2020 - dl.acm.org
Performance is an important aspect of software quality. The goals of performance are
typically defined by setting upper and lower bounds for response time and throughput of a …

Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements

X Xu, FR Cogo, S McIntosh - IEEE Transactions on Software …, 2024 - ieeexplore.ieee.org
Understanding code coverage is an important precursor to software maintenance activities
(eg, better testing). Although modern code coverage tools provide key insights, they typically …

Visual progression analysis of student records data

M Raji, J Duggan, B DeCotes, J Huang… - … IEEE Visualization in …, 2017 - ieeexplore.ieee.org
University curriculum, both on a campus level and on a per-major level, are affected in a
complex way by many decisions of many administrators and faculty over time. As …

[PDF][PDF] Machine learning aplicado al análisis del rendimiento de desarrollos de software

VD Gil-Vera, C Seguro-Gallego - Revista Politécnica, 2022 - redalyc.org
Las pruebas de rendimiento son determinantes para medir la calidad de los desarrollos de
software, ya que permiten identificar aspectos que se deben mejorar en pro de alcanzar la …

Svload: An automated test-driven architecture for load testing in cloud systems

J Noor, MG Hossain, MA Alam, A Uddin… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Nowadays, Internet-based technologies possess immense processing power, capacity,
flexibility, and are gradually moving towards a service-oriented functionality in order to build …

Evaluating the impact of falsely detected performance bug-inducing changes in JIT models

S Quach, M Lamothe, B Adams, Y Kamei… - Empirical Software …, 2021 - Springer
Performance bugs bear a heavy cost on both software developers and end-users. Tools to
reduce the occurrence, impact, and repair time of performance bugs, can therefore provide …