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Automatic identifier inconsistency detection using code dictionary
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
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
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
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
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
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
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
/*icomment
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
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
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
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
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
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
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
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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