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Extending Nocuous Ambiguity Analysis for Anaphora in Natural Language Requirements

Hui Yang, Anne de Roeck, Vincenzo Gervasi, Alistair Willis, Bashar Nuseibeh
2010 2010 18th IEEE International Requirements Engineering Conference  
This paper presents an approach to automatically identify potentially nocuous ambiguities, which occur when text is interpreted differently by different readers of requirements written in natural language  ...  potentially problematic ambiguities in actual requirements documents.  ...  We are grateful to our research partners at Lancaster University for their input, and to Ian Alexander for his practical insights and guidance.  ... 
doi:10.1109/re.2010.14 dblp:conf/re/YangRGWN10 fatcat:32zbcrtwjffxzpbvxai4wzdddi

Analysing anaphoric ambiguity in natural language requirements

Hui Yang, Anne de Roeck, Vincenzo Gervasi, Alistair Willis, Bashar Nuseibeh
2011 Requirements Engineering  
Many requirements documents are written in natural language (NL).  ...  Given a requirements document written in natural language, our approach can identify sentences which contain anaphoric ambiguity, and use the classifier to alert the requirements writer of text that runs  ...  We are grateful to our research partners at Lancaster University for their input, and to Ian Alexander for his practical insights and guidance.  ... 
doi:10.1007/s00766-011-0119-y fatcat:2g635y5gkvaizionmozspvky4q

Automatic detection of nocuous coordination ambiguities in natural language requirements

Hui Yang, Alistair Willis, Anne De Roeck, Bashar Nuseibeh
2010 Proceedings of the IEEE/ACM international conference on Automated software engineering - ASE '10  
Natural language is prevalent in requirements documents. However, ambiguity is an intrinsic phenomenon of natural language, and is therefore present in all such documents.  ...  Given a natural language requirements document, sentences that contain specific types of ambiguity are first extracted automatically from the text.  ...  It occurs everywhere in natural language requirements.  ... 
doi:10.1145/1858996.1859007 dblp:conf/kbse/YangWRN10 fatcat:j4irxiz3c5htzeh34pn6e7hg5y

Automated extraction of security policies from natural-language software documents

Xusheng Xiao, Amit Paradkar, Suresh Thummalapenta, Tao Xie
2012 Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering - FSE '12  
However, in practice, ACPs are commonly written in Natural Language (NL) and buried in large documents such as requirements documents, not amenable for automated techniques to check for correctness and  ...  Table 1: Identified subject, action, and resource elements in sentences matched with semantic patterns for ACP sentences.  ...  Acknowledgment This work is supported in part by NSF grants CCF-0845272, CCF-0915400, CNS-0958235, ARO grant W911NF-08-1-0443, an NSA Science of Security Lablet grant, and a NIST grant.  ... 
doi:10.1145/2393596.2393608 dblp:conf/sigsoft/XiaoPTX12 fatcat:qf2mdh5qinbdbox5lcb3h2ecq4

Mining Privacy Goals from Privacy Policies Using Hybridized Task Recomposition

Jaspreet Bhatia, Travis D. Breaux, Florian Schaub
2016 ACM Transactions on Software Engineering and Methodology  
To help stakeholders extract privacy goals from policies, we introduce a semi-automated framework that combines crowdworker annotations, natural language typed dependency parses and a reusable lexicon  ...  annotations in new texts, but those annotations can be inconsistent and incomplete; dependency parsers lack sophisticated, tacit knowledge, but they can perform exhaustive text search for prospective  ...  ACKNOWLEDGMENTS We thank Hanan Hibshi, Sepideh Ghanavati, Daniel Smullen, Sudarshan Wadkar and the CMU Requirements Engineering Lab for their helpful feedback.  ... 
doi:10.1145/2907942 fatcat:qdw3tplfk5d3hklnomsa6jpwey

Learn PAd - Deliverable D4.2 Quality Assessment Strategies for Contents

Alessio Ferrari, Giorgio O. Spagnolo, Hans Friedrich Witschel
2019 Zenodo  
In this deliverable we identify the quality assessment strategies for the natural language content as- sociated to the Business Process Models (BP Models), within the Learn PAd project.  ...  Moreover, it defines a set of guidelines for editing natural language content in Learn PAd, and a quality model with associated rule-based and algorithmic strategies for computing the quality of such content  ...  However, they require to use constrained natural languages, which are unlikely to be found both in requirements, and in PA documents.  ... 
doi:10.5281/zenodo.2643293 fatcat:lsoqydc4jjbk5h3zpshu3h6nhi

Extraction of Formal Manufacturing Rules from Unstructured English Text

SungKu Kang, Lalit Patil, Arvind Rangarajan, Abha Moitra, Tao Jia, Dean Robinson, Farhad Ameri, Debasish Dutta
2021 Computer-Aided Design  
Second, it extends the framework to complement standard Natural Language Processing (NLP) techniques with manufacturing domain knowledge to resolve ambiguities, called as domainspecific ambiguities, that  ...  Finally, this dissertation extends the framework to identify the cases that need input text validation, and provide the relevant feedback to the user to modify the input text for the extraction of correct  ...  Nuseibeh, "Automatic detec- tion of nocuous coordination ambiguities in natural language require- ments," in Proceedings of the IEEE/ACM international conference on Automated software engineering,  ... 
doi:10.1016/j.cad.2021.102990 fatcat:su5cvsjwizhhtbz2gqupzo5xra

Predictive Models in Software Engineering: Challenges and Opportunities [article]

Yanming Yang, Xin Xia, David Lo, Tingting Bi, John Grundy, Xiaohu Yang
2020 arXiv   pre-print
Based on our findings, we also propose a set of current challenges that still need to be addressed in future work and provide a proposed research road map for these opportunities.  ...  There have been a large number of primary studies that apply predictive models and that present well-preformed studies and well-desigeworks in various research domains, including software requirements,  ...  [150] implemented a prototype tool for Nocuous Ambiguity Identification (NAI) in text.  ... 
arXiv:2008.03656v1 fatcat:fe7ylphujfbobeo3g5yevniiei

Identifying nocuous ambiguity in natural language requirements

Francis J. Chantree
Our research uses natural language processing techniques to address ambiguity in requirements.  ...  In text, such ambiguities should be located and rewritten in a less ambiguous form; others need not be reformulated. We classify the former as nocuous and the latter as innocuous.  ...  Our research uses natural language processing techniques to address ambiguity in requirements.  ... 
doi:10.21954/ fatcat:z2he6jm365ezxmixf5sumtaquq


Hazlina Haron, Abdul Azim, Abdul Ghani, Hazliza Haron
2015 unpublished
Ambiguity is one of the most crucial problem in natural language. When a sentence can be interpreted in more than one ways by different sets of readers, the impact is huge.  ...  In this paper, we attempt to publish a conceptual model on managing lexical ambiguity to reduce the possibility of misinterpretation errors in Malay sentences.  ...  RS is usually written in natural language (NL) as it is most flexible and easy to understand across discipline and domain. However, it is also prone to language error.  ... 

Ambiguity in Privacy Policies and Perceived Privacy Risk

Jaspreet Bhatia
Software specifications are generally expressed in natural language and are thus subject to its underlying ambiguity.  ...  , identify, and measure ambiguity in data practices described in the privacy policies of website companies.  ...  Ambiguity in Natural Language and Requirements Lakoff notes that natural language (NL) concepts have vague boundaries and fuzzy edges.  ... 
doi:10.1184/r1/8005964 fatcat:4k3b4zpqljhjvixhoqtcgs4oxe