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Automatic identifier inconsistency detection using code dictionary

Suntae Kim, Dongsun Kim
2015 Empirical Software Engineering  
Unfortunately, it is not easy to detect inconsistent identifiers that are already used in source code.  ...  This paper proposes an approach to detecting inconsistent identifiers based on a custom code dictionary.  ...  Inconsistency detection based on a Code Dictionary: We present a novel approach for automatic inconsistent identifier detection that leverages the Code Dictionary which defines the domain words and idioms  ... 
doi:10.1007/s10664-015-9369-5 fatcat:zbza5zpvxzfjriq3rfvaqafmai

Inconsistency Detection in Software Component Source Code using Ant Colony Optimization and Neural Network Algorithm

Amit Verma, Srishti Gupta, Iqbaldeep Kaur
2016 Indian Journal of Science and Technology  
ABCD tool identifies the inconsistencies in the source code based on the detected Code Clones. These Clones are detected by matching the test code with Code Repository.  ...  Findings: In the paper, an autonomous tool Automatic Bad Code Detector (ABCD) is developed to detect semantic, syntactic and part of speech inconsistency in the source code.  ...  Authors have given a GUI based tool CodeAmigo for the detection of inconsistencies in code using code dictionary.  ... 
doi:10.17485/ijst/2016/v9i40/101127 fatcat:2hxsh5yuufbebn44eizts6nqly

Automatic Coding of Death Certificates to ICD-10 Terminology

Jitendra Jonnagaddala, Feiyan Hu
2017 Conference and Labs of the Evaluation Forum  
We deployed an approach to tackle the task by solely using dictionary lookup, also known as dictionary matching or dictionary projection.  ...  In this study, we present methods to automatically assign ICD-10 codes to short plain text description extracted from death certificates in English.  ...  We would like to thank the organizers of CLEF eHealth 2017 Task 1 for providing us, with the ICD10 coded text content from death certificates.  ... 
dblp:conf/clef/JonnagaddalaH17 fatcat:akykcrid45dk7la5lj5a5nlwwa

An Exploratory Study of Copyright Inconsistency in the Linux Kernel

Shi QIU, Daniel M. GERMAN, Katsuro INOUE
2021 IEICE transactions on information and systems  
We first designed a fully-automatic method without manual works to detect copyright inconsistency and then used it to detect copyright inconsistencies targeting all 38,932 source files in the Linux kernel  ...  Lastly, we identify the organizations the committers belong to by checking the domain of their e-mail addresses. We use a semi-automatic method to achieve this goal.  ...  His research interests include software engineering, especially software maintenance, software reuse, empirical approach, program analysis, code clone detection, and software license/copyright analysis  ... 
doi:10.1587/transinf.2020edp7107 fatcat:lnwjrypxw5hxtf5cqh3t2n5zdu

DebugSL: An Interactive Tool for Debugging Sentiment Lexicons

Andrew Schneider, John Male, Saroja Bhogadhi, Eduard Dragut
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations  
Its core component implements our algorithms for the automatic detection of polarity inconsistencies in SLs.  ...  An inconsistency is a set of words and/or word-senses whose polarity assignments cannot all be simultaneously satisfied.  ...  When the user utilizes the online dictionary lookup feature, the dictionary senses (definitions) of the word are automatically matched to their corresponding best matching synsets in the WN graph, using  ... 
doi:10.18653/v1/n18-5008 dblp:conf/naacl/SchneiderMBD18 fatcat:6jgxwf7htjbqxgtg2aopbj6rem

Implementation of a platform dedicated to the biomedical analysis terminologies management

Sylvie Cormont, Pierre-Yves Vandenbussche, Antoine Buemi, Jean Delahousse, Eric Lepage, Jean Charlet
2011 AMIA Annual Symposium Proceedings  
This is an enhancement tackling identified weaknesses of previous spreadsheet tool. Our core model allows interoperability regarding data exchange standards and dictionary evolution.  ...  First step to this process was to acquire a biological analysis dictionary.  ...  Then, we developed a program to detect automatically the dictionary axis which are not part of the allowed list. We used this detection 6 times between July 2009 and July 2010.  ... 
pmid:22195205 pmcid:PMC3243140 fatcat:fusvuwumc5f3lpy77uxxtgeede

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text

Albert Park, Andrea L Hartzler, Jina Huh, David W McDonald, Wanda Pratt
2015 Journal of Medical Internet Research  
commonly occurring failures, grouped the inaccurate mappings into failure types, and then identified causes of the failures through iterative rounds of manual review using open coding, and (2) to automatically  ...  Finally, we manually evaluated the automatically detected failures.  ...  Detecting Inconsistent Mappings Our automatic failure detection tool identified 15.56% of the total failures due to inconsistent mappings.  ... 
doi:10.2196/jmir.4612 pmid:26323337 pmcid:PMC4642409 fatcat:hg4yi24ofzea3ffanp55mrpupu

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Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
2007 Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles - SOSP '07  
This paper takes the first step in automatically analyzing comments written in natural language to extract implicit program rules and use these rules to automatically detect inconsistencies between comments  ...  Unfortunately, as most comments are written in natural language, no solution has been proposed to automatically analyze comments and detect inconsistencies between comments and source code.  ...  iComment IDEA AND OVERVIEW The goal of iComment is to automatically extract rules from comments and use these rules to detect code-comment inconsistencies.  ... 
doi:10.1145/1294261.1294276 dblp:conf/sosp/TanYKZ07 fatcat:2wen7dwubbh6xarlldpkyp4xhq

pdb-care (PDB carbohydrate residue check): a program to support annotation of complex carbohydrate structures in PDB files

Thomas Lütteke, Claus-W von der Lieth
2004 BMC Bioinformatics  
Looking up a translation table where systematic names and the respective PDB residue codes are listed, both assignments are compared and inconsistencies are reported.  ...  The pdb-care program http://www.glycosciences.de/tools/pdb-care/ is able to identify and assign carbohydrate structures using only atom types and their 3D atom coordinates given in PDB-files.  ...  The existence of a check program makes it feasible to update GlycosciencesDB -the former SweetDB [16] -automatically with data obtained from PDB in case there are no inconsistencies detected.  ... 
doi:10.1186/1471-2105-5-69 pmid:15180909 pmcid:PMC441419 fatcat:dry3gia3qbczvkh5fw3dwbx5ha

X-search: an open access interface for cross-cohort exploration of the National Sleep Research Resource

Licong Cui, Ningzhou Zeng, Matthew Kim, Remo Mueller, Emily R Hankosky, Susan Redline, Guo-Qiang Zhang
2018 BMC Medical Informatics and Decision Making  
dictionary.  ...  The National Sleep Research Resource (NSRR) is a large-scale, openly shared, data repository of de-identified, highly curated clinical sleep data from multiple NIH-funded epidemiological studies.  ...  The mappings between individual data dictionaries and the canonical data dictionary can be found at https://github.com/nsrr/cross-dataset-mapping.  ... 
doi:10.1186/s12911-018-0682-y pmid:30424756 pmcid:PMC6234631 fatcat:fnrtw54evzcunhlssx6bi3imv4

Multi Label Image Annotation for Weakly Labeled Images using Discriminative Dictionary

Neethu Lakshmi K M, Nisha C A
2015 International Journal of Engineering Research and  
Then detect the label group by using the subgraph seeking problem. Learn multiple dictionaries to make distinction between the feature representation of each label.  ...  Fisher discriminative dictionary learning is used for that. Expand the semantic relationship between the visual words in the dictionary and labels based on the mutual information between them.  ...  In multi label sparse coding framework for automatic image annotation includes three components [2] .  ... 
doi:10.17577/ijertv4is090677 fatcat:yw4bqr4zfrde7en4ea7pegahl4

Feedback Based Conflict Identification and Resolution using Duplicate Elimination and Ranking Techniques

Carol I
2015 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
This paper presents a mechanism that operates on heterogeneous data sources, identifies conflicts and resolves them using duplicate elimination and ranking techniques.  ...  Further, a feedback mechanism is incorporated into the architecture, using which reinforcement learning is imposed on the architecture.  ...  A semantic based inconsistency resolution system that uses automatic ontology merging system is presented in [15] .  ... 
doi:10.24297/ijct.v14i9.1846 fatcat:tq3lk42lpngvfnxxzesfc7tvaq

Semi-automatic ESOL error annotation

Øistein E. Andersen
2011 English Profile Journal  
Manual error annotation of learner corpora is time-consuming and error-prone, whereas existing automatic techniques cannot reliably detect and correct all types of error.  ...  This paper shows that the two methods can successfully complement each other: automatic detection and partial correction of trivial errors relieves the human annotator from the laborious task of incessantly  ...  can be identified and corrected with a high degree of confidence by exploiting information found in a dictionary.  ... 
doi:10.1017/s2041536211000018 fatcat:gdl7viobdfbbdppknun5fr3ufi

Duplication Detection When Evolving Feature Models of Software Product Lines

Amal Khtira, Anissa Benlarabi, Bouchra Asri
2015 Information  
However, the use of this means of communication has shown its limits in detecting defects, such as inconsistency and duplication, when evolving the existing models of the software product line.  ...  Then, an algorithm is proposed to automatically detect duplication between these specifications and the existing product line feature models.  ...  automatically, namely inconsistency, incompleteness and ambiguity.  ... 
doi:10.3390/info6040592 fatcat:ybryrivxevcbrjwwpbjdwusluy

A classification of data quality assessment and improvement methods

Philip Woodall, Martin Oberhofer, Alexander Borek
2014 International Journal of Information Quality  
Data quality (DQ) assessment and improvement in larger information systems would often not be feasible without using suitable "DQ methods", which are algorithms that can be automatically executed by computer  ...  systems to detect and/or correct problems in datasets.  ...  Hence, data verification is needed to check whether a particular zip code is a real in-use zip code using the official address dictionary in Germany.  ... 
doi:10.1504/ijiq.2014.068656 fatcat:55mn32y2lbbgnn23wdfa25dcwq
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