TY  - JOUR
T1  - Evaluating the Effectiveness of Scoring Rubrics Assisted Reading (SRAR)
Technique in the Reading of Software Requirements Work Documents
AU - Laily Hashim, Nor AU - O.C. Mkpojiogu, Emmanuel 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 21
SP  - 5548
EP  - 5553
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5548.5553
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5548.5553
KW  - Requirements documents
KW  -effectiveness
KW  -scoring rubrics assisted reading
KW  -SRAR
KW  -enhancement
KW  -percentages
AB  - The quality of requirements work products and of software depends on how effective the reading
technique and mechanism is. A number of reading techniques have been proposed and in use. These
techniques assist in the reading process, in the detection of defects and errors and in the enhancement of the
quality of software artifacts. Nevertheless, the effectiveness of a range of reading techniques is at varying
degrees. The most familiar and common reading technique is the checklist-based reading technique. This
technique, although, it is an enhancement over the ad hoc reading technique is however, bugged with some
limitations that affect its usability and effectiveness. It provides too wide-ranging questions to readers without
any precise guidance on how they can go about the reading exercise. No previous work has been done on
evaluating the effectiveness of SRAR. This study evaluates the effectiveness of the Scoring Rubric-Assisted
Reading (SRAR) technique using two metrics: defect density and defect criticality rate. The method used is as
follows: the use of SRAR, detection of defects, counting of defects present in the artifacts and refining of the
artifact for each round/iteration of review. The defects found by reviewers were counted and presented as
averages and percentages. Preliminary result reveals the effectiveness of this technique. SRAR is effective
because it is helpful and successful in detecting defects, reducing the amount of defects (including critical
defects) in a software artifact and in improving the quality of such software artifact.
ER  -