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security-operations-maturity-model-white-paper.pdf [article]

Haren Santiago
2020 Figshare  
applied for threat discovery and alarm prioritization .  ...  This metric can be broken down into sub-metrics based on the analytics method type . • Centralized Security Event Prioritization: the percentage of security event generating devices, across which automated  ... 
doi:10.6084/m9.figshare.11808192.v1 fatcat:ipxkeuhexjd45nknkkghn7ttfy

On the Use of Mutation Faults in Empirical Assessments of Test Case Prioritization Techniques

Hyunsook Do, G. Rothermel
2006 IEEE Transactions on Software Engineering  
More importantly, a comparison of our results with those collected using hand-seeded faults reveals several implications for researchers performing empirical studies of test case prioritization techniques  ...  A recent empirical study, however, suggests that mutation faults can be representative of real faults and that the use of hand-seeded faults can be problematic for the validity of empirical results focusing  ...  ACKNOWLEDGMENTS Steve Kachman of the University of Nebraska-Lincoln Statistics Department provided assistance with our statistical analysis.  ... 
doi:10.1109/tse.2006.92 fatcat:wj3fxj34dnaqbituc4i5epwqua

FuzMet: a fuzzy-logic based alert prioritization engine for intrusion detection systems

Khalid Alsubhi, Issam Aib, Raouf Boutaba
2011 International Journal of Network Management  
This paper considers the specification and configuration issues of FuzMet, a novel IDS alert management system which employs several metrics and a fuzzy-logic based approach for scoring and prioritizing  ...  Comparative results between SNORT scores and FuzMet alert prioritization onto a real attack dataset are presented, along with a simulation-based investigation of the optimal configuration of FuzMet.  ...  In the case of failure, the alert is considered as a new attack and gets prioritized for further investigation.  ... 
doi:10.1002/nem.804 fatcat:x2h5anvirjbctgr4bme6driydq

A prioritization metric and modelling framework for fragmented saltmarsh patches restoration

Dongdong Shao, Kang Liu, Hannah L. Mossman, Matthew P. Adams, Hongfang Wang, Dongxue Li, Yu Yan, Baoshan Cui
2021 Ecological Indicators  
Acknowledgments This study was funded by Key Project of National Natural Science  ...  These graphtheoretic connectivity and metapopulation capacity metrics, which combine the attributes of habitat patches with the dispersal behavior of the inhabitant species, provide useful tools for assisting  ...  Here, we propose a new metric and modelling framework for prioritizing the location of patches for saltmarsh restoration to optimize restoration efforts.  ... 
doi:10.1016/j.ecolind.2021.107833 fatcat:2m6rf7hjhjdjve64yju5pgcswe

Studying Behavior of Software Developers With Cross-Tool Logs

Ciera Jaspan, Matt Jorde, Carolyn D Egelman, Collin Green, Ben Holtz, Edward K Smith, Margaret Morrow Hodges, Andrea Knight, Elizabeth Kammer, Jillian Dicker, Caitlin Sadowski, James Lin (+3 others)
2020 IEEE Software  
InSession can help investigate other questions about developer behavior.  ...  in future studies, we performed a validation to understand the extent to which our metrics and behavioral self-reports of time use agree.  ... 
doi:10.1109/ms.2020.3014573 fatcat:elwfvvfncrc6zassf62tl4shym

Alert prioritization in Intrusion Detection Systems

Khalid Alsubhi, Ehab Al-Shaer, Raouf Boutaba
2008 NOMS 2008 - 2008 IEEE Network Operations and Management Symposium  
In this paper, we propose a fuzzy-logic based technique for scoring and prioritizing alerts generated by an IDS (1) .  ...  The number of these alerts can be very large; making the task of security analysts difficult to manage.  ...  ACKNOWLEDGMENT The authors are thankful to the ministry of higher education in Saudi Arabia (www.mohe.gov.sa/english) for providing a scholarship to the first author of this paper.  ... 
doi:10.1109/noms.2008.4575114 dblp:conf/noms/AlsubhiAB08 fatcat:vid7mwvc5nayzlqux2n5t2c644

Environmental cost of using poor decision metrics to prioritize environmental projects

David J. Pannell, Fiona L. Gibson
2016 Conservation Biology  
We estimated the magnitudes of these losses for various metrics that deviate from theory in ways that are common in practice.  ...  The cost of using poor prioritization metrics (in terms of lost environmental values) was often highup to 80% in the scenarios we examined. The cost was greater when the budget was smaller.  ...  Acknowledgments We are grateful to the Australian Research Council Centre of Excellence for Environmental Decisions for funding support.  ... 
doi:10.1111/cobi.12628 pmid:26365219 fatcat:zthy6tth7jc4fiunimsbaazxie

On Simulation and Design of Parallel-Systems Schedulers: Are We Doing the Right Thing?

E. Shmueli, D.G. Feitelson
2009 IEEE Transactions on Parallel and Distributed Systems  
As a consequence, all schedulers have evolved to optimize the packing of jobs in the schedule, as a mean to improve a number of performance metrics that are conjectured to be correlated with user satisfaction  ...  We propose an alternative simulation methodology called site-level simulation, in which the workload for the evaluation is generated dynamically by user-models that interact with the system.  ...  We investigate the reason for this exceptional improvement and show that it stems from CREASY's ability to maintain long user sessions under high loads.  ... 
doi:10.1109/tpds.2008.152 fatcat:dm233on4pjgzzcfra4mzkxyo7e

How does regression test prioritization perform in real-world software evolution?

Yafeng Lu, Yiling Lou, Shiyang Cheng, Lingming Zhang, Dan Hao, Yangfan Zhou, Lu Zhang
2016 Proceedings of the 38th International Conference on Software Engineering - ICSE '16  
We reimplemented 24 variant techniques of both the traditional and time-aware test prioritization, and investigated the impacts of software evolution on those techniques based on the version history of  ...  In recent years, researchers have intensively investigated various topics in test prioritization, which aims to re-order tests to increase the rate of fault detection during regression testing.  ...  We thank August Shi from the University of Illinois for sharing the experimental subjects with us.  ... 
doi:10.1145/2884781.2884874 dblp:conf/icse/LuLCZHZ016 fatcat:tmoah5jps5dvtlk7m5zsew37my

Enhanced Adaptive Random Test Case Prioritization for Model-based Test Suites

Tomas Pospisil, Jan Sobotka, Jiri Novak
2020 Acta Polytechnica Hungarica  
The proposed improvement achieved better fault detection performance for all of the examined systems.  ...  The evaluation criterion is fault detection performance expressed by Average Percentage of Faults Detection metric and Â12 statistic.  ...  Acknowledgement The work was supported from ERDF/ESF project "Advanced Testing of Automotive Radars" (No. CZ.02.1.01/0.0/0.0/16_025/0007318). This support is gratefully acknowledged.  ... 
doi:10.12700/aph.17.7.2020.7.7 fatcat:pxc4einlzbg7jm5yjxiczn4hmm

Cross-referencing online activity with the connectome to identify a neglected but well-connected neuron

Evan L. Ardiel, Catharine H. Rankin
2015 Current Biology  
This research was funded by a grant from the Natural Sciences and Engineering Research Council of Canada (grant #122216-2013) to C.H.R.  ...  To investigate the role of DVC we used optogenetics for controlled activation, as previous reports suggested its ablation had no obvious behavioral consequence [5, 6] .  ...  Notable exceptions to this trend were AIY, a pair of first layer interneurons essential for integrating chemosensory and thermosensory input; AVA, a pair of command interneurons for driving backward locomotion  ... 
doi:10.1016/j.cub.2015.03.043 pmid:25989076 fatcat:bi7ictbweffr7ktsfvwl3sj2ra

Using the Case-Based Ranking Methodology for Test Case Prioritization

Paolo Tonella, Paolo Avesani, Angelo Susi
2006 Conference on Software Maintenance, Proceedings of the  
In this paper, we propose a test case prioritization technique that takes advantage of user knowledge through a machine learning algorithm, Case-Based Ranking (CBR).  ...  Prioritizing the test cases so as to optimize the achievement of the testing goal has potentially a positive impact on the testing costs, especially when the test execution time is long.  ...  In order to investigate the behavior of CBR at variable test suite size, we sub-sampled the available suites and we produced test suites with a size ranging from 10 to 100, at increments of 10.  ... 
doi:10.1109/icsm.2006.74 dblp:conf/icsm/TonellaAS06 fatcat:dxkmc3vfqzeonm4zzcjeyndxaa

A Hint-Based Technique for System Level Model-Based Test Case Prioritization [article]

João Felipe Silva Ouriques, Emanuela Gadelha Cartaxo, Everton Leandro Galdino Alves, Patrícia Duarte Lima Machado
2017 arXiv   pre-print
Therefore, techniques use different sources of information to guide prioritization.  ...  Then, we investigated the ability of developers/managers to provide good hints and used them in a case study.  ...  They also propose metrics for three prioritization objectives: code coverage, confidence in reliability, and the composition of both.  ... 
arXiv:1708.03236v1 fatcat:y7rquhv6yvg3zizxdazyxjezke

How search engines disseminate information about COVID-19 and why they should do better

Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa
2020 Harvard Kennedy School Misinformation Review  
We found that different search engines prioritize specific categories of information sources, such as governmentrelated websites or alternative media.  ...  at times of emergency.  ...  (University of Bern), Madleina Ganzeboom, for the valuable assistance during data collection.  ... 
doi:10.37016/mr-2020-017 fatcat:hpjdgpllmjgtrjmamg755tztt4

Prioritizing Test Cases for Regression Testing of Location-Based Services: Metrics, Techniques, and Case Study

Ke Zhai, Bo Jiang, W.K. Chan
2014 IEEE Transactions on Services Computing  
It proposes a suite of metrics and initializes them to demonstrate input-guided techniques and point-of-interest (POI) aware test case prioritization techniques, differing by whether the location information  ...  When the implementation of an LBS-enabled service has evolved, regression testing can be employed to assure the previously established behaviors not having been adversely affected.  ...  The last metric investigates the effect of POI coverage in the expected output in relation to the corresponding test input.  ... 
doi:10.1109/tsc.2012.40 fatcat:jrvtl5gv75dkxcf76k5r54fhzm
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