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Automatic documentation inference for exceptions

Raymond P.L. Buse, Westley R. Weimer
2008 Proceedings of the 2008 international symposium on Software testing and analysis - ISSTA '08  
The output of this tool is well-suited for use as human-readable documentation of exceptional conditions.  ...  Exception handling is a powerful and widely-used programming language abstraction for constructing robust software systems.  ...  CONCLUSION In this paper we have described an algorithm for automatic exception documentation in 2 phases.  ... 
doi:10.1145/1390630.1390664 dblp:conf/issta/BuseW08a fatcat:brjughw7efguhljhi35ael6a3i

Automatic Indexing Based on Term Activity

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka
2002 Transactions of the Japanese society for artificial intelligence  
With the increasing number of electronic documents, automatic indexing from a document is an essential approach in information retrieval systems, such as search engines.  ...  for stop-word list.  ...  8 word 9 read document 10 alcohol "abductive inference" TF "abductive inference" "document set" "combination retrieval" "abductive inference" PAI "abductive inference" KeyGraph  ... 
doi:10.1527/tjsai.17.398 fatcat:ezrvtvuuarb6zlrpkp64m7owka

Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes

Skanda Muralidhar, Laurent Nguyen, Daniel Gatica-Perez
2018 Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
and automatically transcribed texts respectively.Our inference results indicate the feasibility of using deep learning based verbal content representation in inferring hirability scores from online conversational  ...  extract various representations of verbal content, and evaluate them in a regression task.We obtain a best performance of R 2 = 0.23 using GloVe, and R 2 = 0.22 using Word2Vec representations for manual  ...  We thank Lesly Miculicich and Nikolaos Pappas (Idiap) for discussions.  ... 
doi:10.18653/v1/w18-6247 dblp:conf/wassa/MuralidharNG18 fatcat:hodc7pb36zcvxchgcohqiji4vi

Dynamic Inference of Change Contracts

Tien-Duy B. Le, Jooyong Yi, David Lo, Ferdian Thung, Abhik Roychoudhury
2014 2014 IEEE International Conference on Software Maintenance and Evolution  
Thus, there is a need for an automated approach that can help developers better document changes with little or minimal effort.  ...  To address this need, we propose a dynamic inference framework that automatically infers change contracts. Recently, change contract is proposed as a formalism to capture the semantics of changes.  ...  To meet the need for information about semantic differences, we propose an approach that automatically infers semantic differences between two versions.  ... 
doi:10.1109/icsme.2014.72 dblp:conf/icsm/LeYLTR14 fatcat:6ozqysonrresrp6td7xkskivla

JSON-LD based Web API Semantic Annotation Considering Distributed Knowledge

Xianghui Wang, Qian Sun, Jinlong Liang
2020 IEEE Access  
Furthermore, the exception with api type means the fault at business level, and it is necessary for automatic fault recognition to distinguish different exceptions by annotation.  ...  These algorithms includes parsing response parameters, extracting I/O parameters, automatic domain ontology generation, and semi-automatic bridge rule inference.  ...  This can facilitate future API automatic composition. However, picking semantic vocabulary is completed manually. This requires annotators are professional for relevant business domains.  ... 
doi:10.1109/access.2020.3034937 fatcat:aujjsallfnfrbcguitlqlfngdq

Identifying the original contribution of a document via language modeling

Benyah Shaparenko, Thorsten Joachims
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
One goal of text mining is to provide readers with automatic methods for quickly finding the key ideas in individual documents and whole corpora.  ...  To this effect, we propose a statistically well-founded method for identifying the original ideas that a document contributes to a corpus, focusing on self-referential diachronic corpora such as research  ...  To automatically detect the origin of ideas, we propose a generative probabilistic model that allows inference for originality in an unsupervised way.  ... 
doi:10.1145/1571941.1572083 dblp:conf/sigir/ShaparenkoJ09 fatcat:qhdxugbc4ra2hak2w3uka64hme

Eyes Wide Open: an interactive learning method for the design of rule-based systems

Cérès Carton, Aurélie Lemaitre, Bertrand Coüasnon
2017 International Journal on Document Analysis and Recognition  
We present in this paper a new general method, the Eyes Wide Open method (EWO) for the design of rule-based document recognition systems.  ...  An automatic analysis of an annotated corpus, guided by the user, is made to help the adaption of the recognition system to a new kind of document.  ...  We developed a learning system, LearnPos, presented in [2] , for the automatic inference of the position operators.  ... 
doi:10.1007/s10032-017-0282-x fatcat:iu7xfxk5x5b2npwnkyew4ac4dy

Toasters, Seat Belts, and Inferring Program Properties [chapter]

David Evans
2008 Lecture Notes in Computer Science  
This position paper explores why this is the case, suggests societal and technical impediments to more dependable software, and considers what realistic, meaningful guarantees for software would be like  ...  Promising directions for research towards these goals include automatic property inference and automatic detection of and recovery from errors.  ...  Except for the most safetycritical (and thus expensive) software, it is unreasonable to expect required application properties to be clearly documented in the near future.  ... 
doi:10.1007/978-3-540-69149-5_38 fatcat:kv6y6ymxffanzfhrxu3dobc2ua

A step towards the detection of semantic variants of terms in technical documents

Thierry Hamon, Adeline Nazarenko, Cécile Gros
1998 Proceedings of the 36th annual meeting on Association for Computational Linguistics -  
This paper reports the results of a preliminary experiment on the detection of semantic variants of terms in a French technical document.  ...  Moreover, it appeared that numerous errors are due to few mis-interpreted links: they could be eliminated by few exception rules.  ...  and Henry Boccon-Gibod for the validation of the results.  ... 
doi:10.3115/980845.980929 dblp:conf/acl/HamonNG98 fatcat:oftq345tv5ba3lqgvvvkujd4d4

Inferring method specifications from natural language API descriptions

Rahul Pandita, Xusheng Xiao, Hao Zhong, Tao Xie, Stephen Oney, Amit Paradkar
2012 2012 34th International Conference on Software Engineering (ICSE)  
To address this issue, we propose a novel approach to infer formal specifications from natural language text of API documents.  ...  Furthermore, our results show that our approach has an average 83% accuracy in inferring specifications from over 1600 sentences describing code contracts.  ...  We propose new techniques that apply Natural Language Processing (NLP) on method descriptions in API documents to automatically infer specifications.  ... 
doi:10.1109/icse.2012.6227137 dblp:conf/icse/PanditaXZXOP12 fatcat:jxwq5eroknar3mepmttffzz63e

From Texts to Structured Documents: The Case of Health Practice Guidelines [chapter]

Amanda Bouffier
2007 Lecture Notes in Computer Science  
This paper describes a system capable of semi-automatically filling an XML template from free texts in the clinical domain (practice guidelines).  ...  We present in this paper the rules developed for this task. We show that the system yields good performance when applied to the analysis of French practice guidelines.  ...  Following these observations, we made a study based on a representative corpus and automatic text mining techniques, in order to semi-automatically discover relevant linguistic features for the task and  ... 
doi:10.1007/978-3-540-76298-0_69 fatcat:if3mxhmk5rcszot3cpjlkutnbe

Integrating Defeasible Argumentation and Machine Learning Techniques [article]

Sergio Alejandro Gomez, Carlos Ivan Chesñevar
2004 arXiv   pre-print
data in order to infer so-called target functions.  ...  The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience.  ...  Basic approaches for information retrieval and data mining involve the following strategies: • Searching using keywords: This is done by automatically indexing the documents by frequency of term appearance  ... 
arXiv:cs/0402057v2 fatcat:gcxzssyoa5at3jbo2rgfxa4zqm

Automatic generation and inference of interface properties from program source code

Mithun Acharya
2006 Companion to the 21st ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications - OOPSLA '06  
Our research proposes a novel framework to automatically infer system-specific interface properties from program source code using static model-checking traces.  ...  documented by developers.  ...  code and show how the inferred specifications can be used in generating robustness properties for static analysis [2] . • We explore how we can automatically and scalably infer system-specific intra-and  ... 
doi:10.1145/1176617.1176707 dblp:conf/oopsla/Acharya06 fatcat:vczuktb5ufci3gzk22tbojudd4

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation [article]

Qinglin Zhang, Qian Chen, Yali Li, Jiaqing Liu, Wen Wang
2021 arXiv   pre-print
Transcripts generated by automatic speech recognition (ASR) systems for spoken documents lack structural annotations such as paragraphs, significantly reducing their readability.  ...  Automatically predicting paragraph segmentation for spoken documents may both improve readability and downstream NLP performance such as summarization and machine reading comprehension.  ...  Document segmentation is defined as automatic prediction of segment (paragraph or section) boundaries for a document [3] .  ... 
arXiv:2107.09278v2 fatcat:3t7rya67ofgnzey3ntwfrmuole

Page 521 of Computational Linguistics Vol. 31, Issue 4 [page]

2005 Computational Linguistics  
Daumé and Marcu Alignments for Automatic Document Summarization ML optimizes the probability of the data given the parameters (the likelihood), MAP optimizes the product of the probability of the parameters  ...  (here, we consider x to be a vector of length J in which all components are zero except for one, corresponding to the actual observation).  ... 
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