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Carbohydrates are predominantly obtained from plant sources. With the exception of lactose found in milk and insignificant glycogen amounts in meat, most consumed carbohydrates have plant origins. Monosaccharides and disaccharides, or sugars, can be sourced from fruits, honey, milk, sugar cane, and sugar beets. Grains and vegetables are rich in the polysaccharide starch. Two types of polysaccharides provide fiber: cellulose, which is abundant in many vegetables, forms undigestible roughage or...
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Complementarity in Requirements Tracing.

Wentao Wang, Nan Niu, Mounifah Alenazi

    IEEE Transactions on Cybernetics
    |January 15, 2019
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    Summary
    This summary is machine-generated.

    Understanding complementarity in requirements tracing activities, like tagging-to-trace (T2T) and learning-to-trace (L2T), enhances overall effectiveness. Exploiting these synergistic effects improves human-machine interactions in cybernetic systems.

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    Area of Science:

    • Cybernetics
    • Human-Computer Interaction
    • Software Engineering

    Background:

    • Complementarity describes synergistic effects where combined activities yield greater returns than individual efforts.
    • Requirements tracing is crucial for tracking stakeholder goals in complex systems.
    • Limited understanding exists regarding complementarity among different requirements tracing practices.

    Purpose of the Study:

    • To explore the role of complementarity in requirements tracing.
    • To investigate how tagging-to-trace (T2T) and learning-to-trace (L2T) practices interact.
    • To identify environmental factors influencing this complementarity.

    Main Methods:

    • Developed a novel approach to analyze the interplay between T2T and L2T practices.
    • Examined which specific practices enhance each other's quality.
    • Investigated environmental factors affecting complementarity.

    Main Results:

    • The study identified specific T2T and L2T practices that exhibit complementarity.
    • Environmental factors influencing the sensitivity of complementarity were uncovered.
    • Operational insights for detecting complementarity in requirements tracing were provided.

    Conclusions:

    • Understanding and exploiting complementarity in T2T and L2T is vital for effective requirements tracing.
    • The cybernetic conditions under which these practices are complementary need further investigation.
    • This research highlights the importance of synergistic approaches in human-machine interaction for goal tracking.