9 papers · ranked by Valyu relevance
Hui He, Dongyan Zhang, Min Liu, Weizhe Zhang + 1 more
Software security defects have a serious impact on the software quality and reliability. It is a major hidden danger for the operation of a system that a software system has some security flaws. When the scale of the software increases, its vulnerability has becoming much more difficult to find out. Once these…
Heling Cao, Fei Wang, Miaolei Deng, Lei Li + 1 more
Background Spectrum-based Fault localization have proven to be useful in the process of software testing and debugging. However, how to improve the effectiveness of software fault localization has always been a research hot spot in the field of software engineering. Dynamic slicing can extract program dependencies…
Sabin Belu, Daniela Coltuc, Luis Javier Garcia Villalba
We propose an innovative delta-differencing algorithm that combines software-updating methods with LZ77 data compression. This software-updating method relates to server-side software that creates binary delta files and to client-side software that performs software-update installations. The proposed algorithm creates…
Aurora Papotti, Katja Tuma, Fabio Massacci
Slicing is a fault localization technique that has been proposed to support debugging and program comprehension. Yet, its empirical effectiveness during code inspection by humans has received limited attention. The goal of our study is two-fold. First, we aim to define what it means for a code reviewer to identify the…
Kiavash Fathi, Hans Wernher van de Venn, Marcel Honegger, Biswanath Samanta
'Biswanath Samanta'] Performing predictive maintenance (PdM) is challenging for many reasons. Dealing with large datasets which may not contain run-to-failure data (R2F) complicates PdM even more. When no R2F data are available, identifying condition indicators (CIs), estimating the health index (HI), and thereafter…
Geonbae Na, Jongsu Lim, Sunjun Lee, Jeong Hyun Yi
As interest in Internet of Things environments rapidly increases throughout the IT convergence field, compatibility with mobile devices must be provided to enable personalized services. The security of mobile platforms and applications is critical because security vulnerabilities of mobile devices can be spread to all…
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The accurate prediction of fuel mixture properties is essential for the development of alternative fuels, yet remains challenging under data-scarce conditions due to the combinatorial complexity of multi-component systems. In this study, we present a systematic evaluation of three machine learning (ML)…
Han Geurdes
In this paper we ask if there is an interesting twist in mathematics of the Feynman propagator of the present day [1] formalism for the Dirac equation. The case studied is with only a potential function V . If there is no special integration order per step for e.g. dx(0) = dx1dx2dx3 and dp(0) = dp1dp2dp3, then a delta…
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Accurately predicting activation energies is crucial for understanding chemical reactions and modeling complex reaction systems. However, the high computational cost of quantum chemistry methods often limits the feasibility of large-scale studies, leading to a scarcity of high-quality activation energy data. In this…