Results 71 to 80 of about 281,995 (369)
Improved prediction of software defect: A particle swarm optimization based ELM approach
e-Prime: Advances in Electrical Engineering, Electronics and EnergyEnsuring software reliability before deployment is essential, as human errors during development are a major source of defects. Identifying and resolving these issues at an early stage can greatly minimize their impact.
Debasish Pradhan, Debendra Muduli
doaj +1 more source
Optimal Release Time Estimation of Software System using Box-Cox Transformation and Neural Network [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes.
Momotaz Begum, Tadashi Dohi
doaj +1 more source
FEBS Letters, EarlyView.Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield +3 more
wiley +1 more source
FEBS Letters, EarlyView.Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Evaluating the Assessment of Software Fault-Freeness [PDF]
, 2014 We propose to validate experimentally a theory of software certification that proceeds from assessment of confidence in fault-freeness (due to standards) to conservative prediction of failure-free ...
Littlewood, B., Rushby, J., Strigini, L.
core +1 more source
Dependable reconfigurable multi-sensor poles for security [PDF]
, 2009 Wireless sensor network poles for security monitoring under harsh environments require a very high dependability as they are safety-critical [1]. An example of a multi-sensor pole is shown.
Kerkhoff, Hans G.
core +3 more sources
The Influence of Deep Learning Algorithms Factors in Software Fault Prediction
IEEE Access, 2020 The discovery of software faults at early stages plays an important role in improving software quality; reduce the costs, time, and effort that should be spent on software development.
Osama Al Qasem +2 more
semanticscholar +1 more source
software fault prediction of unlabeled program modules [PDF]
, 2009 Software metrics and fault data belonging to a previous software version are used to build the software fault prediction model for the next release of the software. Until now, different classification algorithms have been used to build this kind of models. However, there are cases when previous fault data are not present; and hence, supervised learning
Catal, C., Sevim, U., Diri, B.
openaire +3 more sources
Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers
, 2019 In machine learning, supervised classifiers are used to obtain predictions for unlabeled data by inferring prediction functions using labeled data. Supervised classifiers are widely applied in domains such as computational biology, computational physics ...
Kanewala, Upulee, Saha, Prashanta
core +1 more source
Cancer cell death induced by the NAD antimetabolite Vacor discloses the antitumor potential of SARM1
FEBS Letters, EarlyView.Vacor, a compound converted into the toxic metabolite Vacor adenine dinucleotide (VAD) by the nicotinamide salvage pathway enzymes NAMPT and NMNAT2, exhibits antitumor activity by inducing rapid and complete NAD depletion. We report that Vacor toxicity is limited to cell lines expressing high levels of SARM1, a NAD glycohydrolase.
Giuseppe Ranieri +5 more
wiley +1 more source