The Experts below are selected from a list of 3780 Experts worldwide ranked by ideXlab platform

Vinay Kulkarni - One of the best experts on this subject based on the ideXlab platform.

  • automated Completeness Check in kaos
    International Conference on Conceptual Modeling, 2014
    Co-Authors: Joshua C Nwokeji, Tony Clark, Balbir Barn, Vinay Kulkarni
    Abstract:

    KAOS is a popular and useful goal oriented requirements engineering (GORE) language, which can be used in business requirements modelling, specification, and analysis. Currently, KAOS is being used in areas such as business process modelling, and enterprise architecture (EA). But, an incomplete or malformed KAOS model can result to incomplete and erroneous requirements analysis, which in turn can lead to overall systems failure . Therefore, it is necessary to Check that a requirements specification in KAOS language are complete and well formed. The contribution at hand is to provide an automated technique for Checking the Completeness and well-formed-ness of a requirements specification in KAOS language. Such a technique can be useful, especially to business or requirements analysts in industries and research, to Check that requirements specification in KAOS language is well formed.

René Kleijn - One of the best experts on this subject based on the ideXlab platform.

  • Numerical approaches towards life cycle interpretation five examples
    The International Journal of Life Cycle Assessment, 2001
    Co-Authors: Reinout Heijungs, René Kleijn
    Abstract:

    The ISO-standard for LCA distinguishes four phases, of which the last one, the interpretation, is the least elaborated. It can be regarded as containing procedural steps (like a Completeness Check) as well as numerical steps (like a sensitivity Check). This paper provides five examples of techniques that can be used for the numerical steps. These are the contribution analysis, the perturbation analysis, the uncertainty analysis, the comparative analysis, and the discernibility analysis. All five techniques are described at a non-technical level with respect to basic concept, possibilities, tabular and graphical representation, restriction and warnings, and all are illustrated with a simple example.

Verones Francesca - One of the best experts on this subject based on the ideXlab platform.

  • Methodological review and detailed guidance for the life cycle interpretation phase
    Hoboken WILEY, 2020
    Co-Authors: Laurent Alexis, Weidema, Bo P., Bare Jane, Liao Xun, De Souza, Danielle Maia, Pizzol Massimo, Sala Serenella, Schreiber Hanna, Thonemann Nils, Verones Francesca
    Abstract:

    Life cycle interpretation is the fourth and last phase of life cycle assessment (LCA). Being a "pivot" phase linking all other phases and the conclusions and recommendations from an LCA study, it represents a challenging task for practitioners, who miss harmonized guidelines that are sufficiently complete, detailed, and practical to conduct its different steps effectively. Here, we aim to bridge this gap. We review available literature describing the life cycle interpretation phase, including standards, LCA books, technical reports, and relevant scientific literature. On this basis, we evaluate and clarify the definition and purposes of the interpretation phase and propose an array of methods supporting its conduct in LCA practice. The five steps of interpretation defined in ISO 14040-44 are proposed to be reorganized around a framework that offers a more pragmatic approach to interpretation. It orders the steps as follows: (i) Completeness Check, (ii) consistency Check, (iii) sensitivity Check, (iv) identification of significant issues, and (v) conclusions, limitations, and recommendations. We provide toolboxes, consisting of methods and procedures supporting the analyses, computations, points to evaluate or Check, and reflective processes for each of these steps. All methods are succinctly discussed with relevant referencing for further details of their applications. This proposed framework, substantiated with the large variety of methods, is envisioned to help LCA practitioners increase the relevance of their interpretation and the soundness of their conclusions and recommendations. It is a first step toward a more comprehensive and harmonized LCA practice to improve the reliability and credibility of LCA studies

  • Methodological review and detailed guidance for the life cycle interpretation phase
    'Wiley', 2018
    Co-Authors: Laurent Alexis, Bare Jane, Pizzol Massimo, Sala Serenella, Schreiber Hanna, Thonemann Nils, Weidema B., Liao Xian, Maia De Souza Danielle, Verones Francesca
    Abstract:

    Life cycle interpretation is the fourth and last phase of life cycle assessment (LCA). Being a “pivot” phase linking all other phases and the conclusions and recommendations from an LCA study, it represents a challenging task for practitioners, who miss harmonized guidelines that are sufficiently complete, detailed, and practical to conduct its different steps effectively. Here, we aim to bridge this gap. We review available literature describing the life cycle interpretation phase, including standards, LCA books, technical reports, and relevant scientific literature. On this basis, we evaluate and clarify the definition and purposes of the interpretation phase and propose an array of methods supporting its conduct in LCA practice. The five steps of interpretation defined in ISO 14040–44 are proposed to be reorganized around a framework that offers a more pragmatic approach to interpretation. It orders the steps as follows: (i) Completeness Check, (ii) consistency Check, (iii) sensitivity Check, (iv) identification of significant issues, and (v) conclusions, limitations, and recommendations. We provide toolboxes, consisting of methods and procedures supporting the analyses, computations, points to evaluate or Check, and reflective processes for each of these steps. All methods are succinctly discussed with relevant referencing for further details of their applications. This proposed framework, substantiated with the large variety of methods, is envisioned to help LCA practitioners increase the relevance of their interpretation and the soundness of their conclusions and recommendations. It is a first step toward a more comprehensive and harmonized LCA practice to improve the reliability and credibility of LCA studies.JRC.D.1-Bio-econom

Joshua C Nwokeji - One of the best experts on this subject based on the ideXlab platform.

  • automated Completeness Check in kaos
    International Conference on Conceptual Modeling, 2014
    Co-Authors: Joshua C Nwokeji, Tony Clark, Balbir Barn, Vinay Kulkarni
    Abstract:

    KAOS is a popular and useful goal oriented requirements engineering (GORE) language, which can be used in business requirements modelling, specification, and analysis. Currently, KAOS is being used in areas such as business process modelling, and enterprise architecture (EA). But, an incomplete or malformed KAOS model can result to incomplete and erroneous requirements analysis, which in turn can lead to overall systems failure . Therefore, it is necessary to Check that a requirements specification in KAOS language are complete and well formed. The contribution at hand is to provide an automated technique for Checking the Completeness and well-formed-ness of a requirements specification in KAOS language. Such a technique can be useful, especially to business or requirements analysts in industries and research, to Check that requirements specification in KAOS language is well formed.

Reinout Heijungs - One of the best experts on this subject based on the ideXlab platform.

  • Numerical approaches towards life cycle interpretation five examples
    The International Journal of Life Cycle Assessment, 2001
    Co-Authors: Reinout Heijungs, René Kleijn
    Abstract:

    The ISO-standard for LCA distinguishes four phases, of which the last one, the interpretation, is the least elaborated. It can be regarded as containing procedural steps (like a Completeness Check) as well as numerical steps (like a sensitivity Check). This paper provides five examples of techniques that can be used for the numerical steps. These are the contribution analysis, the perturbation analysis, the uncertainty analysis, the comparative analysis, and the discernibility analysis. All five techniques are described at a non-technical level with respect to basic concept, possibilities, tabular and graphical representation, restriction and warnings, and all are illustrated with a simple example.