References of "Sannier, Nicolas 50002981"
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See detailA Query System for Extracting Requirements-related Information from Legal Texts
Sleimi, Amin UL; Ceci, Marcello UL; Sannier, Nicolas UL et al

in Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19) (2019)

Searching legal texts for relevant information is a complex and expensive activity. The search solutions offered by present-day legal portals are targeted primarily at legal professionals. These solutions ... [more ▼]

Searching legal texts for relevant information is a complex and expensive activity. The search solutions offered by present-day legal portals are targeted primarily at legal professionals. These solutions are not adequate for requirements analysts whose objective is to extract domain knowledge including stakeholders, rights and duties, and business processes that are relevant to legal requirements. Semantic Web technologies now enable smart search capabilities and can be exploited to help requirements analysts in elaborating legal requirements. In our previous work, we developed an automated framework for extracting semantic metadata from legal texts. In this paper, we investigate the use of our metadata extraction framework as an enabler for smart legal search with a focus on requirements engineering activities. We report on our industrial experience helping the Government of Luxembourg provide an advanced search facility over Luxembourg’s Income Tax Law. The experience shows that semantic legal metadata can be successfully exploited for answering requirements engineering-related legal queries. Our results also suggest that our conceptualization of semantic legal metadata can be further improved with new information elements and relations. [less ▲]

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See detailAutomated Extraction of Semantic Legal Metadata Using Natural Language Processing
Sleimi, Amin UL; Sannier, Nicolas UL; Sabetzadeh, Mehrdad UL et al

in the 26th IEEE International Requirements Engineering Conference, Banff, Alberta, 20-24 August 2018 (2018, August)

[Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis of legal ... [more ▼]

[Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis of legal requirements. [Objectives] Our work is motivated by two observations: (1) The existing requirements engineering (RE) literature does not provide a harmonized view on the semantic metadata types that are useful for legal requirements analysis. (2) Automated support for the extraction of semantic legal metadata is scarce, and further does not exploit the full potential of natural language processing (NLP). Our objective is to take steps toward addressing these limitations. [Methods] We review and reconcile the semantic legal metadata types proposed in RE. Subsequently, we conduct a qualitative study aimed at investigating how the identified metadata types can be extracted automatically. [Results and Conclusions] We propose (1) a harmonized conceptual model for the semantic metadata types pertinent to legal requirements analysis, and (2) automated extraction rules for these metadata types based on NLP. We evaluate the extraction rules through a case study. Our results indicate that the rules generate metadata annotations with high accuracy. [less ▲]

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See detailModel-Based Simulation of Legal Policies: Framework, Tool Support, and Validation
Soltana, Ghanem UL; Sannier, Nicolas UL; Sabetzadeh, Mehrdad UL et al

in Software & Systems Modeling (2018), 17(3), 851-883

Simulation of legal policies is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest ... [more ▼]

Simulation of legal policies is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g., revenue. Legal policy simulation is currently implemented using a combination of spreadsheets and software code. Such a direct implementation poses a validation challenge. In particular, legal experts often lack the necessary software background to review complex spreadsheets and code. Consequently, these experts currently have no reliable means to check the correctness of simulations against the requirements envisaged by the law. A further challenge is that representative data for simulation may be unavailable, thus necessitating a data generator. A hard-coded generator is difficult to build and validate. We develop a framework for legal policy simulation that is aimed at addressing the challenges above. The framework uses models for specifying both legal policies and the probabilistic characteristics of the underlying population. We devise an automated algorithm for simulation data generation. We evaluate our framework through a case study on Luxembourg’s Tax Law. [less ▲]

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See detailLegal Markup Generation in the Large: An Experience Report
Sannier, Nicolas UL; Adedjouma, Morayo UL; Sabetzadeh, Mehrdad UL et al

in the 25th International Requirements Engineering Conference (RE'17), Lisbon, 4-8 September 2017 (2017, September)

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See detailFrom RELAW Research to Practice: Reflections on an Ongoing Technology Transfer Project
Sannier, Nicolas UL; Sabetzadeh, Mehrdad UL; Briand, Lionel UL

in the IEEE 25th International Requirements Engineering Conference, Lisbon, Portugal, 4-8 September 2017 (2017, September)

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See detailAutomated extraction of product comparison matrices from informal product descriptions
Ben Nasr, Sana; Bécan, Guillaume; Acher, Mathieu et al

in Journal of Systems and Software (2017), 124

Domain analysts, product managers, or customers aim to capture the important features and differences among a set of related products. A case-by-case reviewing of each product description is a laborious ... [more ▼]

Domain analysts, product managers, or customers aim to capture the important features and differences among a set of related products. A case-by-case reviewing of each product description is a laborious and time-consuming task that fails to deliver a condense view of a family of product. In this article, we investigate the use of automated techniques for synthesizing a product comparison matrix (PCM) from a set of product descriptions written in natural language. We describe a tool-supported process, based on term recognition, information extraction, clustering, and similarities, capable of identifying and organizing features and values in a PCM – despite the informality and absence of structure in the textual descriptions of products. We evaluate our proposal against numerous categories of products mined from BestBuy. Our empirical results show that the synthesized PCMs exhibit numerous quantitative, comparable information that can potentially complement or even refine technical descriptions of products. The user study shows that our automatic approach is capable of extracting a significant portion of correct features and correct values. This approach has been implemented in MatrixMiner a web environment with an interactive support for automatically synthesizing PCMs from informal product descriptions. MatrixMiner also maintains traceability with the original descriptions and the technical specifications for further refinement or maintenance by users. [less ▲]

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See detailAn Automated Framework for Detection and Resolution of Cross References in Legal Texts
Sannier, Nicolas UL; Adedjouma, Morayo; Sabetzadeh, Mehrdad UL et al

in Requirements Engineering (2017), 22(2), 215-237

When identifying and elaborating compliance requirements, analysts need to follow the cross references in legal texts and consider the additional information in the cited provisions. Enabling easier ... [more ▼]

When identifying and elaborating compliance requirements, analysts need to follow the cross references in legal texts and consider the additional information in the cited provisions. Enabling easier navigation and handling of cross references requires automated support for the detection of the natural language expressions used in cross references, the interpretation of cross references in their context, and the linkage of cross references to the targeted provisions. In this article, we propose an approach and tool sup- port for automated detection and resolution of cross references. The approach leverages the structure of legal texts, formalized into a schema, and a set of natural language patterns for legal cross reference expressions. These patterns were developed based on an investigation of Luxembourg’s legislation, written in French. To build confidence about their applicability beyond the context where they were observed, these patterns were validated against the Personal Health Information Protection Act (PHIPA) by the Government of Ontario, Canada, written in both French and English. We report on an empirical evaluation where we assess the accuracy and scalability of our framework over several Luxembourgish legislative texts as well as PHIPA. [less ▲]

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See detailAutomated Classification of Legal Cross References Based on Semantic Intent
Sannier, Nicolas UL; Adedjouma, Morayo; Sabetzadeh, Mehrdad UL et al

in 22nd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ'16) (2016, March)

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See detailMatrixMiner: A Red Pill to Architect Informal Product Descriptions in the Matrix
Ben Nasr, Sana; Becan, Guillaume; Acher, Mathieu et al

in 10th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2015), Bergamo, Italy, August 30 - September 4, 2015 (2015, September)

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See detailAssessing IT Security Standards Against the Upcoming GDPR for Cloud Systems
Bartolini, Cesare UL; Gheorghe, Gabriela UL; Giurgiu, Andra UL et al

Poster (2015, March 11)

This work in progress aims at identifying a mapping between the current security standards (in particular, but not limited to, ISO 27001-2013) and the upcoming regulations in data protection. The aim is ... [more ▼]

This work in progress aims at identifying a mapping between the current security standards (in particular, but not limited to, ISO 27001-2013) and the upcoming regulations in data protection. The aim is to find an overlap between the requirements for data protection and the existing security standards, to measure the gap that a business has to cross (and consequently an estimate of the expenses that it must sustain) to achieve compliance with the GDPR. [less ▲]

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See detailA Model-Based Framework for Probabilistic Simulation of Legal Policies
Soltana, Ghanem UL; Sannier, Nicolas UL; Sabetzadeh, Mehrdad UL et al

in 18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS'15) (2015)

Legal policy simulation is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g ... [more ▼]

Legal policy simulation is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g., revenue. Currently, legal policies are simulated via a combination of spreadsheets and software code. This poses a validation challenge both due to complexity reasons and due to legal experts lacking the expertise to understand software code. A further challenge is that representative data for simulation may be unavailable, thus necessitating a data generator. We develop a framework for legal policy simulation that is aimed at addressing these challenges. The framework uses models for specifying both legal policies and the probabilistic characteristics of the underlying population. We devise an automated algorithm for simulation data generation. We evaluate our framework through a case study on Luxembourg's Tax Law. [less ▲]

Detailed reference viewed: 194 (42 UL)