Essays in Information Management: Contributions to the Modeling and Analysis of Quality in Information Systems Engineering

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Author: Ivan J. Jureta.

Thesis committee: Stephane Faulkner, Pierre-Yves Schobbens, John Mylopoulos, Esteban Zimanyi, Manuel Kolp.

Publication: University of Namur.

Summary. Efficient organization requires rigorous and systematic information management, which encompasses information processing and decision making. Within the efforts in management science and informatics invested towards advancing the knowledge on, and providing assistance to decision making, this thesis focuses on the conceptualizations and techniques intended to facilitate the identification, evaluation, and selection of decisions during the earliest stages of information systems engineering, whereby the systems of interest are deployed to partly or fully automate various organizational processes, including information processing ones. The overall motivating problem that drove to, and that unites the various contributions presented in this thesis is how to better inform decision making and guide it towards decisions that will increase the quality (as evaluated both by the engineer and the stakeholders) of the information system being engineered.

Topics in two key related areas are therefore addressed. First, boundedly rational individuals cannot take engineering decisions by accounting for all information that may be, or actually is available to them. As their information processing abilities are limited and their perception biased, it is necessary to filter the available information to a manageable level, and to bring it to a format that facilitates the rigorous reasoning invested in decision making. Second, it is necessary to provide guidance on how to use the given information in decision making.

The first part of this thesis therefore focuses on conceptualizations that facilitate the identification of relevant information and its organization for subsequent analysis, all in the aim of achieving high quality of the system being engineered. In particular, Part I discusses, shows deficiencies, and accordingly revises the conceptual foundations of requirements engineering, a field of information systems engineering that focuses on the identification and analysis of requirements communicated by the stakeholders to the engineer of the system. The novelty of the suggested revision lies primarily in (i) the separation between functional and nonfunctional (i.e., quality) requirements grounded in a foundational ontology, (ii) the introduction of stakeholders’ communicated attitudes as important sources of information for the evaluation of alternative requirements engineering decisions, (iii) the reformulation of the so-called “requirements problem” - which precisely defines when the requirements engineering effort is successfully completed - to account for attitudes and nonfunctional requirements, and (iv) the recognition of the importance of defeasible reasoning in the search for a solution to the requirements problem. Acknowledging the importance of defeasible reasoning leads - in Part II - to the study of how defeasible reasoning can be incorporated into established decision making processes involved in the identification and analysis of requirements. Novelty in Part II lies mainly in (i) the use of argumentation and justification processes in the modeling and analysis of requirements, (ii) the combined use of design rationale approaches with argumentation and justification, (iii) the recognition that the clarity of arguments is variable (due to ambiguity, vagueness, synonymy, and overgenerality of information going into premises and conclusions in arguments), (iv) the definition of a number of techniques for the detection of unclear information and its clarification, and (v) the use of “clarity” as a criterion for the discrimination among arguments. Part III shows how the conceptualizations and techniques introduced in Parts I and II are applied within and are relevant to the engineering of information systems, including those that rely on heterogeneous and distributed components, as in service-oriented and agent-oriented computing.

A General Approach to the Specification and Analysis of Nonfunctional Characteristics and their Relationships

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Authors: Ivan J. Jureta, Stephane Faulkner, Pierre-Yves Schobbens, John Mylopoulos.

Abstract. Specification and analysis of nonfunctional characteristics (NFC), such as availability, reliability, safety, and security is a critical activity in software engineering for it affects the degree to which realistic quality levels are set for and met by software. Expressive and structured specification and rigorous analysis of NFC still seem elusive. The present paper proposes a comprehensive generalization and extension of the established NFR framework. An expressive NFC conceptualization for reasoning about unclear, preferential, and subjective information is combined with a set of techniques for the construction and analysis of links between NFC to allow more precise NFC specifications and structured comparison of alternative system structures for justifiably appropriate software engineering decisions.

Patterns for Agent Oriented e-Bidding Practices

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Authors: Ivan J. Jureta, Manuel Kolp, Stephane Faulkner, T. Tung Do.

Published: Proceedings of Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia.

Abstract. High volume of goods and services is being traded using online auction systems. The growth in size and complexity of architectures to support online auctions requires the use of distributed and cooperative software techniques. In this context, the agent software development paradigm seems appropriate both for their modelling, development and implementation. This paper proposes an agent-oriented patterns analysis of best practices for online auction. The patterns are intended to help both IT managers and software engineers during the requirement specification of an on-line auction system while integrating benefits of agent software engineering.

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