Automated Visual Software...

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openHPI is the educational internet platform of the Hasso Plattner Institute (HPI) for Software Systems Engineering. The HPI is affiliated with the University of Potsdam and offers a practical and engineering oriented study program in IT System Engineering. has participated in the following openHPI course: Total result (Homework and Final Exam) Record of Achievement Potsdam, May 5, 2015 Prof. Dr. Jürgen Döllner Course Instructor Prof. Dr. Christoph Meinel Head of openHPI by Prof. Dr. Jürgen Döllner The 6-week course covered the following topics: Week 1: Introduction to Software Engineering Week 2: Software Metrics Week 3: Software Analytics Week 4: Automated Data Mining and Visualization Techniques Week 5: Applying Visual Software Analytics Week 6: Related Techniques and Outlook Automated Visual Software Analytics At the conclusion of this course, participants should be able to: outline concepts and methods from scientific fields that contribute to software analytics; describe objectives underlying “data-driven” software engineering approaches; discuss challenges for software maintenance; list, describe, and compare software metrics as quality measures; outline and contrast different visualization techniques; obtain first experience in using automated visual software analytics tools; reflect on using elements of automated visual software analytics in own projects as means to improve effectiveness of software development processes. Alexander Wolf [email protected] 126 out of 180 possible points (70%) Verify online: https://open.hpi.de/verify/xefit-sycyr-gifov-kozif-rydug

Transcript of Automated Visual Software...

Page 1: Automated Visual Software Analyticsastro.altspu.ru/~aw/.../softwareanalytics2015-RecordOfAchievement.… · openHPI is the educational internet platform of the Hasso Plattner Institute

openHPI is the educational internet platform of the Hasso Plattner Institute (HPI) for Software Systems Engineering. The HPI is a�liated with the University of Potsdam and o�ers a practical and engineering oriented study program in IT System Engineering.

has participated in the following openHPI course:

Total result (Homework and Final Exam)

Record of Achievement

Potsdam, May 5, 2015

Prof. Dr. Jürgen DöllnerCourse Instructor

Prof. Dr. Christoph MeinelHead of openHPI

by Prof. Dr. Jürgen Döllner

The 6-week course covered the following topics:

Week 1: Introduction to Software Engineering

Week 2: Software Metrics

Week 3: Software Analytics

Week 4: Automated Data Mining and Visualization Techniques

Week 5: Applying Visual Software Analytics

Week 6: Related Techniques and Outlook

Automated Visual Software Analytics

At the conclusion of this course, participants should be able to:outline concepts and methods from scientific fields that contribute to software analytics;

describe objectives underlying “data-driven” software engineering approaches;

discuss challenges for software maintenance;

list, describe, and compare software metrics as quality measures;

outline and contrast di�erent visualization techniques;

obtain first experience in using automated visual software analytics tools;

reflect on using elements of automated visual software analytics in own projects as means to improve e�ectiveness of software development processes.

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Alexander [email protected]

126 out of 180 possible points (70%)

Verify online: https://open.hpi.de/verify/xefit-sycyr-gifov-kozif-rydug