<p>Requirements reuse is based upon the idea that it is possible to reuse requirements from previous software development projects. Requirements reuse leads to efficiency and quality gains in the beginning of the development process. One of the obstacles for requirements reuse is that there is a lack of appropriate tools for it. This work approaches this hinder by identifying properties that are important, that is, that the properties represent something that has so much influence that it should be in a requirements reuse tool. These identified properties may then guide the development when building requirements reuse tools.</p><p>In order to find the properties this work is conducted as a literature study where both tool-specific and non-tool specific articles were searched in order to elicitate the properties. The work focuses on properties present in both tool-specific and non-tool specific articles. This makes the result more reliable since two different sources have identified them. 18 verified properties were identified through this work.</p>

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Since no effect on CP and diet type on the optimal Trp-to-Lys ratio (TLR) was found in two previous experiments, two extra experiments were planned. In the first one, piglets were fed a Lys-deficient basal diet supplemented with crystalline Lys (to create graded levels of SID Lys). GFR and PUN were measured every 5-d for 15-d; and were analyzed using the broken-line analysis to determine the Lys requirement. As SID Lys level increased, GFR increased linearly and PUN decreased linearly. The SID Lys requirement for was estimated to be 1.02%. To determine the optimal TLR, pigs were fed Trp-deficient basal diet supplemented with crystalline Trp (to create graded levels of SID TLR). Most of the parameters evaluated failed (P > 0.10) to yield an estimate. Based on the evidence we suggest that the optimal SID TLR for early-weaned pigs fed a wheat-barley diet lies below 17.75%.

Since no effect on CP and diet type on the optimal Trp-to-Lys ratio (TLR) was found in two previous experiments, two extra experiments were planned. In the first one, piglets were fed a Lys-deficient basal diet supplemented with crystalline Lys (to create graded levels of SID Lys). GFR and PUN were measured every 5-d for 15-d; and were analyzed using the broken-line analysis to determine the Lys requirement. As SID Lys level increased, GFR increased linearly and PUN decreased linearly. The SID Lys requirement for was estimated to be 1.02%. To determine the optimal TLR, pigs were fed Trp-deficient basal diet supplemented with crystalline Trp (to create graded levels of SID TLR). Most of the parameters evaluated failed (P > 0.10) to yield an estimate. Based on the evidence we suggest that the optimal SID TLR for early-weaned pigs fed a wheat-barley diet lies below 17.75%.

General purpose rich-text editors, such as MS Word are often used to author software requirements specifications. These requirements specifications contain many different logical structures, such as use cases, business rules and functional requirements. Automated recognition and extraction of these logical structures is necessary to provide useful automated requirements management features, such as automated traceability, template conformance checking, guided editing and interoperability with sophisticated requirements management tools like Requisite Pro. The variability among instances of these logical structures and their attributes poses many challenges for their accurate recognition and extraction. The thesis provides a framework for the extraction of logical structures from software requirements documents. The framework models information about style, structure, and attributes of the logical structures and uses the defined meta-model to extract instances of logical structures. A meta-model also incorporates information about the variability present in the instances. The framework includes an extraction tool, ET, that reads the meta-model and extracts instances of modelled logical structures from the documents. The framework is evaluated on a collection of real-world software requirements documents. Using the framework, different logical structures can be extracted with high precision and recall, each close to 100%. The performance of the extraction tool is acceptable for fast extraction of logical structures from documents with extraction times ranging from a few milliseconds to a few seconds.

Zugl.: Wien, Techn. Univ., Diplomarbeit, 2001

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2000. / Includes bibliographical references.

Zugl.: München, Techn. Univ., Diss., 2008

Diss., Techn. Univ. München, 2008.