... J. C., 1935– Software errordetectionthrough testing and analysis / J. C. Huang.p. cm.Includes bibliographical references and index.ISBN 978-0-470-40444-7 (cloth)1. Computer software Testing. ... SFK/XXX QC: SFK/XXX T1: SFKFM JWBS015-Huang March 12, 2009 7:15 Printer: Yet to come SOFTWARE ERROR DETECTION THROUGH TESTING AND ANALYSISJ. C. HuangUniversity of HoustonA JOHN WILEY & SONS, ... being executed, to facilitate detection of faults that become moreobvious during execution time. In Chapter 7 we show how dynamic analysis can bedone through the use of software instruments.For...
... directly or indirectly, to errordetection and correction.indirectly, to errordetection and correction.Types of ErrorsRedundancy Detection Versus CorrectionForward Error Correction Versus RetransmissionCodingModular ... What is the errordetection and correction capability of this scheme?SolutionThis code guarantees the detection of up to three errors(s = 3), but it can correct up to one error. In other ... corrupted bits have made the error undetectable.Example 10.2 (continued)10.24Table 10.2 A code for error correction (Example 10.3)10.30To guarantee the detection of up to s errors in all cases,...
... Targeted error categories We selected 13 error categories for detection. Table 1. Error categories to be detected Noun Number error, Lexical error Verb Erroneous subject-verb agreement, Tense error, ... Compliment error Adjective Lexical error Adverb Lexical error Preposition Lexical error on normal and dependent preposition Article Lexical error Pronoun Lexical error Others Collocation error ... in an error tag, the sys-tem can convert erroneous parts into corrected equivalents. 3 Errordetection method In this section, we would like to describe how we proceeded with error detection...
... or phrase is discovered (error detec-tion), these systems usually attempt to generate a le-gal alternative (error correction). In this paper, wepresent a HR errordetection system that uses ... detailed error anal-ysis shows that linguistic features, such as lemmamodels, help improve HR -error detection specifi-cally where we expect them to: identifying semanti-cally inconsistent error ... 81.4% of all problem words aresubstitution errors, 10.6% are insertion errors and7.9% are deletion errors. Whereas punctuation sym-bols are 9.3% of all errors, they represent over 38%876Base...
... including 15 duplicates.Measuring recall is tricky, even using the errorsidentified in Green and Manning (2010) as “gold”errors. One factor is that a system might report avariation nucleus, ... 2011.c2011 Association for Computational LinguisticsUsing Derivation Trees for Treebank Error Detection Seth Kulick and Ann Bies and Justin MottLinguistic Data ConsortiumUniversity of Pennsylvania3600 ... complex and thus more prone to error thanother annotation tasks, such as part-of-speech tag-ging. Recent work has therefore focused on the im-portance of detecting errors in the treebank (Greenand...
... with the Use of Plagiarism -Detection Software. In Political Science & Politics, 34(4):835-839. Sergey Brin, James Davis, and Hector Garcia-molina. 1995. Copy Detection Mechanisms for Digital ... particular the winning entries in plagiarism detection competition in PAN1. However, the competition in PAN is designed for off-line plagiarism detection; the entries did not exploit an IR ... Language Plagiarism Detection. In Journal on Educational Resources in Computing JERIC Homepage archive, 4(4). Du Zou, Wei-jiang Long, and Zhang Ling. 2010. A Cluster-Based Plagiarism Detection Method....
... interested in error detection, we focus on work that uses confidenceestimation approaches to detect translation errors.Of course, confidence estimation is not limited tothe application of error detection, ... effectiveness of linguistic fea-tures for errordetection but also to identify the ad-ditional contribution of each feature to the task.6.1 Data CorpusFor the errordetection task, we use the best trans-lation ... with word posterior probabilitybased features into error detection. Our experiments validate that linguistic featuresare very useful for error detection: 1) they bythemselves achieve a higher...
... interactionextraction. We would like to further investigatethe role of parsing in errordetection by looking atother error types and other text types, e.g. machinetranslation output.AcknowledgmentsWe ... deter-miner error correction in L2 english. In Proceedingsof the 22nd COLING, Manchester, United Kingdom.Rachele De Felice and Stephen Pulman. 2009. Au-tomatic detection of preposition errors in ... ranging from 50% to80% and recall as low as 10% to 20%.To date, the conventional wisdom in the error detection community has been to avoid the useof statistical parsers under the belief that a...
... ESL errors,preposition errors are still infrequent overall, withover 90% of prepositions being used correctly (Lea-cock et al., 2010; Rozovskaya and Roth, 2010a).Given this fact about error ... analysis, we only use the classes Error andOK since Unknown was used extremely rarely andnever by all 3 experts for the same sentence.We used two different errordetection systems toillustrate ... human raters (henceforth, Turkers),is more reliable than AMT on three different error detection tasks (article errors, confused prepositions2Any conclusions drawn in this paper pertain only...
... 109–112,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPUsing Generation for Grammar Analysis and Error Detection Michael Wayne Goodman∗University of WashingtonDept. of LinguisticsBox 354340 Seattle, ... stands for Erro-neous Generation Analysis and Detection. ∗This research was carried out while visiting NICT.2 BackgroundThis work was inspired by the error mining ap-proach of van Noord (2004), ... marginalizes two general characteristicspoints to the most significant errors, and how it canhelp reduce development time.5.1 Error MiningTable 1 lists the ten highest ranked RPs associatedwith...
... Telecommunications, Fall 1999 Lecture-09 Error Sources, Detection and Correction Error Detection Methods: • Parity Checking The oldest, simplest and least effective method of errordetection is parity checking. ... number Detects single bit errors (or any odd number of errors) but cannot detect 2, 4 or 6 bits (any even number of errors) in error. This results in a very poor errordetection rate of about ... improve error rates. • Conditioning Leased private lines can be conditioned (at a cost) using many of the techniques described above, to lower error rates. Error Detection: Error detection...
... 6:31–45.doi:10.1186/1465-9921-13-87Cite this article as: Goeminne et al.: Detection of Pseudomonasaeruginosa in sputum headspace through volatile organiccompound analysis. Respiratory Research 2012 ... aiming at diagnosis andfollow-up of bacterial infection are being investigated.One approach is detection of volatile organic com-pounds (VOCs) produced by bacter ia. P. aeruginosa maybe detected ... complex in 7%.GC-MS resultsAround one hundred aroma compounds were detectedusing the deconvolution software AMDIS. This resultedin 61 VOCs (Table 2) of which the retention indexes(RI) were also...
... place [2]. In partic-ular, event detection can be divided into two categories: ret-rospective detection and on-line detection [24]. The formerrefers to the detection of previously unidentified ... 6.2. RELATED WORKThe problem of event detection is part of a broader ini-tiative called Topic Detection and Tracking (TDT) [3]. Theobjective of event detection is to discover new or previouslyunidentified ... ofretrospective and on-line event detection. In SIGIR,pages 28–36, 1998.[25] Q. Zhao, T Y. Liu, S. S. Bhowmick, and W Y. Ma.Event detection from evolution of click -through data.In KDD, pages 484–493,...
... pressures on software teams to pro-duce more software, more quickly, with increased expectations of what that software can deliver as benefits.Why is IT so often disappointing? Why isn't software ... and Personal Software ProcessThe Team Software Process (TSP) was developed at the Software Engineer-ing Institute “to help integrated engineering teams more effectively develop software- intensive ... Publication DataEvans, IsabelAchieving software quality through teamwork.—(Artech House computing library)1. Computer software Quality control 2. Computer software Development—Management3. Teams...