software error detection through

... J. C., 1935– Software error detection through 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: SFK FM JWBS015-Huang March 12, 2009 7:15 Printer: Yet to come SOFTWARE ERROR DETECTION THROUGH TESTING AND ANALYSIS J. C. Huang University of Houston A JOHN WILEY & SONS, ... being executed, to facilitate detection of faults that become more obvious during execution time. In Chapter 7 we show how dynamic analysis can be done through the use of software instruments. For...

Ngày tải lên: 17/03/2014, 23:20

... directly or indirectly, to error detection and correction. indirectly, to error detection and correction. Types of Errors Redundancy Detection Versus Correction Forward Error Correction Versus Retransmission Coding Modular ... What is the error detection and correction capability of this scheme? Solution This 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) 10.24 Table 10.2 A code for error correction (Example 10.3) 10.30 To guarantee the detection of up to s errors in all cases,...

Ngày tải lên: 16/02/2014, 20:20

... 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 Error detection method In this section, we would like to describe how we proceeded with error detection...

Ngày tải lên: 20/02/2014, 16:20

... or phrase is discovered (error detec- tion), these systems usually attempt to generate a le- gal alternative (error correction). In this paper, we present a HR error detection system that uses ... detailed error anal- ysis shows that linguistic features, such as lemma models, help improve HR -error detection specifi- cally where we expect them to: identifying semanti- cally inconsistent error ... 81.4% of all problem words are substitution errors, 10.6% are insertion errors and 7.9% are deletion errors. Whereas punctuation sym- bols are 9.3% of all errors, they represent over 38% 876 Base...

Ngày tải lên: 17/03/2014, 00:20

... including 15 duplicates. Measuring recall is tricky, even using the errors identified in Green and Manning (2010) as “gold” errors. One factor is that a system might report a variation nucleus, ... 2011. c 2011 Association for Computational Linguistics Using Derivation Trees for Treebank Error Detection Seth Kulick and Ann Bies and Justin Mott Linguistic Data Consortium University of Pennsylvania 3600 ... complex and thus more prone to error than other annotation tasks, such as part-of-speech tag- ging. Recent work has therefore focused on the im- portance of detecting errors in the treebank (Green and...

Ngày tải lên: 17/03/2014, 00:20

... 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 PAN 1 . 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....

Ngày tải lên: 23/03/2014, 14:20

... interested in error detection, we focus on work that uses confidence estimation approaches to detect translation errors. Of course, confidence estimation is not limited to the application of error detection, ... effectiveness of linguistic fea- tures for error detection but also to identify the ad- ditional contribution of each feature to the task. 6.1 Data Corpus For the error detection task, we use the best trans- lation ... with word posterior probability based features into error detection. Our experiments validate that linguistic features are very useful for error detection: 1) they by themselves achieve a higher...

Ngày tải lên: 23/03/2014, 16:20

... interaction extraction. We would like to further investigate the role of parsing in error detection by looking at other error types and other text types, e.g. machine translation output. Acknowledgments We ... deter- miner error correction in L2 english. In Proceedings of the 22nd COLING, Manchester, United Kingdom. Rachele De Felice and Stephen Pulman. 2009. Au- tomatic detection of preposition errors in ... ranging from 50% to 80% and recall as low as 10% to 20%. To date, the conventional wisdom in the error detection community has been to avoid the use of statistical parsers under the belief that a...

Ngày tải lên: 30/03/2014, 21:20

... ESL errors, preposition errors are still infrequent overall, with over 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 and OK since Unknown was used extremely rarely and never by all 3 experts for the same sentence. We used two different error detection systems to illustrate ... human raters (henceforth, Turkers), is more reliable than AMT on three different error detection tasks (article errors, confused prepositions 2 Any conclusions drawn in this paper pertain only...

Ngày tải lên: 30/03/2014, 21:20

... 109–112, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Using Generation for Grammar Analysis and Error Detection Michael Wayne Goodman ∗ University of Washington Dept. of Linguistics Box 354340 Seattle, ... stands for Erro- neous Generation Analysis and Detection. ∗ This research was carried out while visiting NICT. 2 Background This work was inspired by the error mining ap- proach of van Noord (2004), ... marginalizes two general characteristics points to the most significant errors, and how it can help reduce development time. 5.1 Error Mining Table 1 lists the ten highest ranked RPs associated with...

Ngày tải lên: 31/03/2014, 00:20

Ngày tải lên: 21/06/2014, 11:20

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Ngày tải lên: 22/06/2014, 23:20

... Telecommunications, Fall 1999 Lecture-09 Error Sources, Detection and Correction Error Detection Methods: • Parity Checking The oldest, simplest and least effective method of error detection 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 error detection 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...

Ngày tải lên: 10/12/2013, 08:15

... 6:31–45. doi:10.1186/1465-9921-13-87 Cite this article as: Goeminne et al.: Detection of Pseudomonas aeruginosa in sputum headspace through volatile organic compound analysis. Respiratory Research 2012 ... aiming at diagnosis and follow-up of bacterial infection are being investigated. One approach is detection of volatile organic com- pounds (VOCs) produced by bacter ia. P. aeruginosa may be detected ... complex in 7%. GC-MS results Around one hundred aroma compounds were detected using the deconvolution software AMDIS. This resulted in 61 VOCs (Table 2) of which the retention indexes (RI) were also...

Ngày tải lên: 05/03/2014, 21:20

... place [2]. In partic- ular, event detection can be divided into two categories: ret- rospective detection and on-line detection [24]. The former refers to the detection of previously unidentified ... 6. 2. RELATED WORK The problem of event detection is part of a broader ini- tiative called Topic Detection and Tracking (TDT) [3]. The objective of event detection is to discover new or previously unidentified ... of retrospective 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,...

Ngày tải lên: 23/03/2014, 13:20

... 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 Process The Team Software Process (TSP) was developed at the Software Engineer - ing Institute “to help integrated engineering teams more effectively develop software- intensive ... Publication Data Evans, Isabel Achieving software quality through teamwork.—(Artech House computing library) 1. Computer software Quality control 2. Computer software Development—Management 3. Teams...

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