Results 71 to 80 of about 778,544 (340)

Data quality in empirical software engineering [PDF]

open access: yesProceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering, 2013
Context: The utility of prediction models in empirical software engineering (ESE) is heavily reliant on the quality of the data used in building those models. Several data quality challenges such as noise, incompleteness, outliers and duplicate data points may be relevant in this regard.
Michael Franklin Bosu   +1 more
openaire   +2 more sources

A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction

open access: yesIEEE Access
Test flakiness arises when a test case exhibits inconsistent behavior by alternating between passing and failing states when executed against the same code. Previous research showed the significance of the problem in practice, proposing empirical studies
Angelo Afeltra   +4 more
doaj   +1 more source

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm   +3 more
wiley   +1 more source

Replications of software engineering experiments [PDF]

open access: yes, 2014
There are many open issues that must be addressed before the replication process can be successfully formalized in empirical software engineering research.
Baldassarre, María Teresa   +3 more
core   +3 more sources

Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

open access: yesIEEE Access, 2017
Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products.
Mojtaba Shahin   +2 more
doaj   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

open access: yesAdvanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May   +9 more
wiley   +1 more source

Quality-aware model-driven service engineering [PDF]

open access: yes, 2008
Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration.
Barrett, Ronan   +3 more
core  

The Scalability-Efficiency/Maintainability-Portability Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review

open access: yes, 2016
Large-scale simulations play a central role in science and the industry. Several challenges occur when building simulation software, because simulations require complex software developed in a dynamic construction process. That is why simulation software
Graziotin, Daniel   +7 more
core   +1 more source

Using Automatic Static Analysis to Identify Technical Debt [PDF]

open access: yes, 2012
The technical debt (TD) metaphor describes a tradeoff between short-term and long-term goals in software development. Developers, in such situations, accept compromises in one dimension (e.g. maintainability) to meet an urgent demand in another dimension
Vetro', Antonio
core   +1 more source

Empirical Software Engineering in Educational Context

open access: yes, 2023
A engenharia de software empírica é uma subárea da engenharia de software que visa a aplicação de teorias e métodos empíricos para a medição, compreensão e melhoria do processo de desenvolvimento de software em empresas de software reais. A experimentação é realizada para nos ajudar a melhor avaliar, prever, entender, controlar e melhorar o processo de
openaire   +2 more sources

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