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Quickly Finding Known Software Problems via Automated Symptom Matching

M. Brodie, Sheng Ma, G. Lohman, L. Mignet, N. Modani, M. Wilding, J. Champlin, P. Sohn
Second International Conference on Autonomic Computing (ICAC'05)  
At run-time, when a problem occurs, the system collects the problem symptoms, including the program call-stack, and compares it against a database of symptoms to find the closest matches.  ...  We present an architecture for and prototype of a system for quickly detecting software problem recurrences.  ...  ., by determining whether the symptoms reported by a user match those of any known problem.  ... 
doi:10.1109/icac.2005.49 dblp:conf/icac/BrodieMLMMWCS05 fatcat:6hntdcgpzjfy5fstyyae3zdy74

Using Computers to Diagnose Computer Problems

Joshua Redstone, Michael M. Swift, Brian N. Bershad
2003 USENIX Workshop on Hot Topics in Operating Systems  
Problems frequently occur, and it is hard to find fixes or workarounds.  ...  The system collects problem symptoms from users' desktops, rather than requiring users to describe their problems to primitive search engines, automatically searches global databases of problem symptoms  ...  They often behave in unexpected ways, and it is hard to find fixes or workarounds for problems encountered. The typical approach to solving a problem is to describe the symptoms (e.g.  ... 
dblp:conf/hotos/RedstoneSB03 fatcat:efsrvbwp6fgfpn2m5knmu6fmku

Crawling Bug Tracker for Semantic Bug Search [chapter]

Ha Manh Tran, Georgi Chulkov, Jürgen Schönwälder
2008 Lecture Notes in Computer Science  
The Web has become an important knowledge source for resolving system installation problems and for working around software bugs.  ...  The aim of our system is to find relevant information quickly and to cope with the fact that the relevance of bug records changes quickly, due the short lifecycles of today's software products and services  ...  techniques for finding and resolving similar problems.  ... 
doi:10.1007/978-3-540-87353-2_5 fatcat:hez2omqb3ndilcknh2qba7gwwe

Knowledge base maintenance using knowledge gap analysis

Scott Spangler, Jeffrey Kreulen
2001 Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '01  
ACKNOWLEDGEMENTS The authors gratefully acknowledge Mike Lamb for first suggesting the problem which Knowledge Gap analysis solves and Tracy Knoblaueh, our first user of the technology who provided invaluable  ...  Our software provides features for automatically locating proper names (via capitalization) and for manually refining the dictionary to improve clustering performance.  ...  : Problem tickets may be comprised only of a single symptom and resolution pair as in the above example, or they may span multiple questions, symptoms, answers, attempted fixes, and resolutions--all pertaining  ... 
doi:10.1145/502512.502582 fatcat:igvjz3gjirau3cpbnhmkmvclnu

Developing a rule-driven clinical decision support system with an extensive and adaptative architecture

Liang Xiao, Grainne Cousins, Tom Fahey, Borislav D Dimitrov, Lucy Hederman
2012 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)  
Thus, the rulebased knowledge repository will interact with clinicians via automatic generation of interfaces and control of processes via collecting what shall be known to it or giving what it can predict  ...  Second, business rules are composed by domain ontology or metadata, which helps semantic reasoning and automation of business task performance, for software agents.  ... 
doi:10.1109/healthcom.2012.6379416 dblp:conf/healthcom/0002CFDH12 fatcat:ukdxfrtrhzci5gsy2nfbwh6vua

Managing supply networks: symptom recognition and diagnostic analysis with Web services

J.K. Speyerer, A.J. Zeller
2004 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the  
The modules for symptom recognition and diagnosis will be discussed in detail. The article concludes with a brief outlook on future research.  ...  60% of their total working time remedying disruptions along the value chain, they require the support of interorganizational information systems that allow them to focus their attention on the critical problems  ...  If a problem is encountered, we ergo need to find a possible reason for it and then start seeking other symptoms related to this exact reason.  ... 
doi:10.1109/hicss.2004.1265485 fatcat:b2jkbow7wvbvxdbrme3rpqxv3i

Regular Expressions for Fast-response COVID-19 Text Classification [article]

Igor L. Markov, Jacqueline Liu, Adam Vagner
2021 arXiv   pre-print
Text classifiers are at the core of many NLP applications and use a variety of algorithmic approaches and software.  ...  problem.  ...  Regex matching produces concise explanations via matched snippets and can be customized by pre-and post-processing.  ... 
arXiv:2102.09507v4 fatcat:nrds4ygmojfe5ouecbi3oyrizy

Toward Self-Healing Multitier Services

Brian Cook, Shivnath Babu, George Candea, Songyun Duan
2007 2007 IEEE 23rd International Conference on Data Engineering Workshop  
We identify performance-availability problems (PAPs) as the most relevant target for self-healing, and argue that PAPs are best addressed macroscopically, outside the realm of individual tiers.  ...  Static predefined rules work well for simple services where all possible failures are known in advance or where a universal quick fix can solve most problems. However: 1.  ...  However, FixSym may fail to find a fix for a previously-unseen failure if the symptoms of this failure are very different from those seen so far.  ... 
doi:10.1109/icdew.2007.4401025 dblp:conf/icde/CookBCD07 fatcat:kdlnwxtvwje6zdegp37myl3f24

Automatic belief network modeling via policy inference for SDN fault localization

Yongning Tang, Guang Cheng, Zhiwei Xu, Feng Chen, Khalid Elmansor, Yangxuan Wu
2016 Journal of Internet Services and Applications  
In this paper, we propose a new approach to tackle SDN fault localization by automatically Modeling via Policy Inference (called MPI) the causality between SDN faults and their symptoms to a belief network  ...  Existing tools typically only address a specific part of the problem (e.g., control plane verification, flow checker).  ...  In our current prototype, the problem was observed by the symptom s 15 , and pinpointed to the controller quickly in less than 5 s after the problem triggered.  ... 
doi:10.1186/s13174-016-0043-y fatcat:ny7oyp66vjdlrehwhs4hdpi7he

MONITORING POTENTIAL DRUG INTERACTIONS AND REACTIONS VIA NETWORK ANALYSIS OF INSTAGRAM USER TIMELINES

Rion Brattig Correia, Lang Li, Luis M Rocha
2016 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
2015.We report on 1) the development of a monitoring tool to easily observe user-level timelines associated with drug and symptom terms of interest, and 2) population-level behavior via the analysis of  ...  Analysis of these networks further reveals 3) drug and symptom direct and indirect associations with greater support in user timelines, as well as 4) clusters of symptoms and drugs revealed by the collective  ...  This problem of finding which other items A ⊆ X are near a set of query items Q ⊆ X (including a subnetwork of interest) is common in recommender systems and information retrieval. 17 The answer set  ... 
pmid:26776212 pmcid:PMC4720984 fatcat:vcjaz7rqongdfjjl4ylzbcytvy

MONITORING POTENTIAL DRUG INTERACTIONS AND REACTIONS VIA NETWORK ANALYSIS OF INSTAGRAM USER TIMELINES

RION BRATTIG CORREIA, LANG LI, LUIS M. ROCHA
2015 Biocomputing 2016  
We report on 1) the development of a monitoring tool to easily observe user-level timelines associated with drug and symptom terms of interest, and 2) population-level behavior via the analysis of co-occurrence  ...  Analysis of these networks further reveals 3) drug and symptom direct and indirect associations with greater support in user timelines, as well as 4) clusters of symptoms and drugs revealed by the collective  ...  This problem of finding which other items A ⊆ X are near a set of query items Q ⊆ X (including a subnetwork of interest) is common in recommender systems and information retrieval. 17 The answer set  ... 
doi:10.1142/9789814749411_0045 fatcat:hvr4nape5fcerozq7dexekgaki

(Quickly) testing the tester via path coverage

Alex Groce
2009 Proceedings of the Seventh International Workshop on Dynamic Analysis - WODA '09  
The configuration complexity and code size of an automated testing framework may grow to a point that the tester itself becomes a significant software artifact, prone to poor configuration and implementation  ...  system, or fault detection may become too expensive in terms of computing time to justify running until errors are detected on older versions of the software.  ...  Complex, frequently modified software systems have bugs. This is a truth known to all who are likely to use automated testers.  ... 
doi:10.1145/2134243.2134249 dblp:conf/issta/Groce09 fatcat:zc73zg3zsbbhjojjx6532rmirq

Failure Diagnosis of Complex Systems [chapter]

Soila P. Kavulya, Kaustubh Joshi, Felicita Di Giandomenico, Priya Narasimhan
2012 Resilience Assessment and Evaluation of Computing Systems  
This chapter presents a survey of automated failure diagnosis techniques including both model-based and model-free approaches.  ...  Failure diagnosis is the process of identifying the causes of impairment in a system's function based on observable symptoms, i.e., determining which fault led to an observed failure.  ...  Codebooks diagnose the underlying problem by identifying the closest match to the observed symptoms.  ... 
doi:10.1007/978-3-642-29032-9_12 fatcat:dyxufulyhfgpfbjruwizaj7eia

Process improvement for follow-up radiology report recommendations of lung nodules

Philip S Lim, Doron Schneider, Jonathan Sternlieb, Michel Taupin, Nicholas Sich, Joan Dian, Eileen Jameson, Bryan Frambes, Sharon Taylor
2019 BMJ Open Quality  
The goal of this project was to develop a better automated tracking method and communication tool to reduce the likelihood that needed follow-up studies are missed by patients and clinicians.  ...  Patients are also unaware of the significance of findings in radiology reports.  ...  Expansion of the identification and tracking of all other non-lung incidental findings are underway via testing of new word profiles for accuracy.  ... 
doi:10.1136/bmjoq-2018-000370 pmid:31206047 pmcid:PMC6542430 fatcat:oyl4om3icndujjrxeuctckpz54

Vayu: Learning to Control the Cloud

Ira Cohen, Ohad Assulin, Eli Mordechai, Yaniv Sayers, Ruth Bernstein
2012 USENIX Symposium on Operating Systems Design and Implementation  
of problems and mapping them to a finite set of automated remediation actions available in cloud environments.  ...  Vayu is based on a set of algorithms; anomaly detection, problem signature and similarity and classification based action learning.  ...  Perform graph matching: Find the best matching of Components from one problem to the other.  ... 
dblp:conf/osdi/CohenAMSB12 fatcat:takcribxsbfh3ifhsp6rtvx7my
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