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Calculation and optimization of thresholds for sets of software metrics

Steffen Herbold, Jens Grabowski, Stephan Waack
2011 Empirical Software Engineering  
We define a data-driven methodology that can be used for efficiency optimization of existing metric sets, for the simplification of complex classification models, and for the calculation of thresholds  ...  In this article, we present a novel algorithmic method for the calculation of thresholds for a metric set. To this aim, machine learning and data mining techniques are utilized.  ...  The threshold optimization algorithm calculates a simple threshold-based effective and efficient classification for a metric set M, with f , M and a set of software entities X as input for Algorithm 2.  ... 
doi:10.1007/s10664-011-9162-z fatcat:pcpaboosvbfcpnqx5swbfy2iae

An Environment Aware Learning-based SelfAdaptation Technique with Reusable Components

Kishan Kumar Ganguly, Institute of Information Technology, University of Dhaka, Md. Saeed Siddik, Rayhanul Islam, Kazi Sakib
2019 International Journal of Modern Education and Computer Science  
Apart from software attributes, for example, different alternative software modules, self-adaptation decisions depend on environmental attributes, for example, service rate, bandwidth etc.  ...  The environmental attributes are provided as a constraint to an optimization problem which results in an optimal software attribute selection.  ...  It takes metrics and software variants as inputs and provides training data set for each of the metrics. For each metric, each of the software variants is randomly turned on or off (line 5).  ... 
doi:10.5815/ijmecs.2019.06.06 fatcat:a5ocl3xkunehbgg4cc7hntfwk4

A Comparative Study of Threshold-Based Feature Selection Techniques

Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse
2010 2010 IEEE International Conference on Granular Computing  
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality classification models.  ...  Moreover, performances of the software quality models either improve or remain unchanged despite the removal of over 96% of the software metrics (attributes).  ...  The default decision threshold is often not optimal, especially when the class is imbalanced. Therefore, we propose the use of performance metrics which allow for finding the optimal threshold.  ... 
doi:10.1109/grc.2010.104 dblp:conf/grc/WangKH10 fatcat:5ygc25ji4fbhff3ngnhtxkce3m

Comparison of systematically derived software metrics thresholds for object-oriented programming languages

Tina Beranic, Marjan Hericko
2019 Computer Science and Information Systems  
Without reliable software metrics threshold values, the efficient quality evaluation of software could not be done.  ...  For instance, software metrics implementations vary in various software metrics tools, including varying threshold values that result from different threshold derivation approaches.  ...  set into the threshold calculation step.  ... 
doi:10.2298/csis181012035b fatcat:e2pmh7j7yvb4ndzb7bmbimzzca

A Novel Approach to Determine Software Security Level using Bayes Classifier via Static Code Metrics

Guncel Sarıman, Ecir Ugur Kucuksille
2016 Elektronika ir Elektrotechnika  
Source code metrics are also within these categories. Code metrics evaluate software quality, level of risk, and interchangeability by analysing software based on those metrics.  ...  The scoring system we used to determine the security level calculation will be explained, taking into account metric thresholds that are acceptable in the literature.  ...  EVALUATION Metrics of all uploaded project files can be calculated and appropriate files to the metric threshold have been categorized for security categorization.  ... 
doi:10.5755/j01.eie.22.2.12177 fatcat:zjhvyovhhvfpbpj7kddbu356um

An Evolving Neuro-PSO-based Software Maintainability Prediction

N. Baskar, C. Chandrasekar
2018 International Journal of Computer Applications  
Here, different subset of Object-Oriented software metrics have been considered to provide requisite input data to design the models for predicting maintainability using Neuro-Particle Swarm Optimization  ...  In this paper, an attempt has been made to use subset of class-level objectoriented metrics in order to predicting software maintainability.  ...  The PSO algorithm optimization is used to derive the optimal individual solution for the initial weight value and threshold of the network. 10 .  ... 
doi:10.5120/ijca2018916305 fatcat:kh6fgsa6orfahjtnuv2fvxalhq

Workflow and Metrics for Image Quality Control in Large-Scale High-Content Screens

Mark-Anthony Bray, Adam N. Fraser, Thomas P. Hasaka, Anne E. Carpenter
2012 Journal of Biomolecular Screening  
However, researchers are impeded by the lack of metrics and software tools to identify image-based aberrations that pollute data, limiting experiment quality.  ...  They have implemented these as a versatile, open-source toolbox of algorithms and metrics readily usable by biologists to improve data quality in a wide variety of biological experiments.  ...  Carolina Wählby for her input on statistical analysis and Dr. Sigrun Gustafsdottir for preparing cells for the microscopy image set.  ... 
doi:10.1177/1087057111420292 pmid:21956170 pmcid:PMC3593271 fatcat:lus64zksyndwpipbhbixzf7ntm

Optimized neuro-PSO-based software maintainability prediction using relief features selection method

N. Baskar, C Chandrasekar
2019 Indonesian Journal of Electrical Engineering and Computer Science  
and software metrics, which are very essential for measuring the maintainability of software, software complexity, estimating size, quality and project efforts.  ...  This paper aims at developing an optimized Neuro-PSO-based software maintainability prediction model by applying the dimensionality reduction using relief feature selection method for identifying the optimal  ...  If there are 'm' numbers of response sets in a class, then the CWRFC of that class can be calculated by: Proposed Algorithm Of Optimized Neuro-Pso Software Maintenance-Based Prediction Model Input:  ... 
doi:10.11591/ijeecs.v15.i3.pp1517-1526 fatcat:6ciaevw55ngzrdyxr7neyyxsvm

Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from pseudoprogression

Zachary S. Kelm, Panagiotis D. Korfiatis, Ravi K. Lingineni, John R. Daniels, Jan C. Buckner, Daniel H. Lachance, Ian F. Parney, Rickey E. Carter, Bradley J. Erickson
2015 Journal of Medical Imaging  
1.5 T for many relative CBV metric and classification criteria combinations.  ...  We recommend against using specific relative CBV measurement thresholds for GBM progression determination unless the same software or processing algorithm is used.  ...  Acknowledgments We wish to acknowledge the support of NIH (1U01CA160045-01A1) and the Mayo Medical Scientist Training Program.  ... 
doi:10.1117/1.jmi.2.2.026001 pmid:26158114 pmcid:PMC4478857 fatcat:gjaapzwoxze6hh3eefk7wz3bru

Determining Fuzzy Link Quality Membership Functions in Wireless Sensor Networks

Syed Kazmi, Ramiro Liscano, Jing Ren
2014 Procedia Computer Science  
The computed fuzzy set membership functions were evaluated against an existing fuzzy link quality estimator under typical scenarios and it is shown the performance of the experimental optimal membership  ...  We also present an experimental approach to determine a suitable fuzzy membership function based on varying the shape of the fuzzy set for a multipath wireless sensor network scenario and choosing an optimum  ...  Based on these results the optimal upper bound threshold for the SNR fuzzy set would be 14.  ... 
doi:10.1016/j.procs.2014.07.073 fatcat:zyeznb24nfejja7mfwqesfhbiy

Benchmark-Based Aggregation of Metrics to Ratings

Tiago L. Alves, Jose Pedro Correia, Joost Visser
2011 2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement  
In this paper, we extend our approach for deriving metric thresholds from benchmark data into a methodology for benchmark-based calibration of two-stage aggregation of metrics into ratings.  ...  We explain the core algorithm of the methodology and we demonstrate its application to various metrics of the SIG quality model, using a benchmark of 100 software systems.  ...  Silva for providing comments to earlier versions of this work. The first author is supported by the  ... 
doi:10.1109/iwsm-mensura.2011.15 dblp:conf/iwsm/AlvesCV11 fatcat:jouaylyjbngbxknax6aetlcsda

An efficient logistic regression and ant colony optimization-based object-oriented quality prediction

Jitendrea Kumar Saha, Kailash Patidar, Rishi Kushwah, Gaurav Saxena
2020 ACCENTS Transactions on Information Security  
Then logistic regression and ant colony optimization (LR-ACO) have been considered for the final classification.  ...  Then F-Measure, Odd Ratio and Power have been considered for the analysis of the classification based on LR-ACO. The result after LR-ACO shows better accuracy as comparison to the previous methods.  ...  Conflicts of interest The authors have no conflicts of interest to declare.  ... 
doi:10.19101/tis.2020.517006 fatcat:mwrmzgxuobc5lb4sljktoz3xzm

CHAOS: Accurate and Realtime Detection of Aging-Oriented Failure Using Entropy [article]

Pengfei Chen, Yong Qi, Di Hou
2015 arXiv   pre-print
MMSE employs the complexity embedded in runtime performance metrics to indicate software aging and leverages multi-scale and multi-dimension integration to tolerate system fluctuations.  ...  Even well-designed software systems suffer from chronic performance degradation, also named "software aging", due to internal (e.g. software bugs) and external (e.g. resource exhaustion) impairments.  ...  ACKNOWLEDGMENTS The authors would like to thank all the members in our research group and the anonymous reviewers.  ... 
arXiv:1502.00781v1 fatcat:hc7uqeoi35fmbd2ogszxwsn52m

Signatures for Mass Spectrometry Data Quality

Brett G. Amidan, Daniel J. Orton, Brian L. LaMarche, Matthew E. Monroe, Ronald J. Moore, Alexander M. Venzin, Richard D. Smith, Landon H. Sego, Mark F. Tardiff, Samuel H. Payne
2014 Journal of Proteome Research  
Metrics for describing liquid chromatography mass spectrometry (LC−MS) data have been developed; however, the wide variety of LC−MS instruments and configurations precludes applying a simple cutoff.  ...  Model parameters were optimized by minimizing a loss function that accounts for the tradeoff between false positive and false negative errors.  ...  Journal of Proteome Research  ... 
doi:10.1021/pr401143e pmid:24611607 pmcid:PMC4104976 fatcat:c3lwq3kmnbbyvb2myrycpmwyyy

CNV-ROC: A cost effective, computer-aided analytical performance evaluator of chromosomal microarrays

Corey W. Goodman, Heather J. Major, William D. Walls, Val C. Sheffield, Thomas L. Casavant, Benjamin W. Darbro
2015 Journal of Biomedical Informatics  
for the calculation of performance metrics and comparison of CNV profiles between different microarray experiments.  ...  Comparison of CNVs across microarrays is done on a per-probe basis and receiver operator characteristic (ROC) analysis is used to calibrate algorithmic metrics, such as log 2 ratio threshold, to enhance  ...  Acknowledgments The authors would like to thank the members of the University of Iowa Hospitals and Clinics Shivanand R. Patil Cytogenetics and Molecular Laboratory.  ... 
doi:10.1016/j.jbi.2015.01.001 pmid:25595567 pmcid:PMC4936396 fatcat:hkxrbxn5jzc33pt3xzks2tzdpi
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