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The Effect Of 3D Visualization On Mainframe Application Maintenance: A Controlled Experiment

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Satish, C. J. (Author)
مؤلفين آخرين: Mahendran, Anand (Co-Author)
المجلد/العدد: مج31, ع3
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2019
الصفحات: 403 - 414
DOI: 10.33948/0584-031-003-013
ISSN: 1319-1578
رقم MD: 974712
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
تكنولوجيا المعلومات | هندسة البرمجيات | تقنية ثلاثي الأبعاد | الرسوم البيانية
كلمات المؤلف المفتاحية:
Software Maintenance | Software Engineering | 3D Software Visualization | Software Design Extraction
رابط المحتوى:
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المستخلص: Code written in 1960’s and 80’s are still being maintained by large software organizations. Such legacy systems play a significant role in supporting various data immense applications in banking, manufacturing, retail marketing, health care domains etc. The software maintenance engineer for such large systems has to undergo not trivial tasks of identifying and understanding relevant parts of system related to the developer/maintainer goals. As these systems were written before the evolution of software engineering principles, there is no standard documentation available for such systems and even best coding practices were not followed during the development of these systems. Hence, maintenance of such systems is a challenging task for young software engineers who need to spend a lot of time in comprehending the system before fixing the errors. The lack of tools that support legacy code comprehension makes the maintenance process to be time consuming and tedious. Our research is focused on understanding the impact of 3D software visualization for change impact analysis tasks on the mainframe during the maintenance phase. To conduct this research we have constructed a 3D visualization tool which generates a three dimensional call graph for a system written in COBOL using non immersive virtual reality (VRML). We have conducted a controlled experiment to test the effectiveness of the tool on subjects performing change impact analysis tasks. Our results show that subjects who used the tool performed more the tasks more accurately and faster than the group, that did not use the tool. _ 2017 the Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ISSN: 1319-1578

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