research-article

Metrics in Agile project courses

Authors:

Lukas Alperowitz,

Dora Dzvonyar,

Bernd BrueggeAuthors Info & Claims

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

Pages 323 - 326

https://doi.org/10.1145/2889160.2889183

Published: 14 May 2016 Publication History

Get Access

Abstract

We believe that software engineering should be taught in a hands-on way such as through a project-based capstone course where students apply the learned concepts in a real setting. However, such a teaching format can be challenging and time-consuming for instructors.

In this paper we explain how we selected and introduced a set of metrics to improve the manageability of our large multi-project capstone course. We regularly run such a course with over 100 students developing applications in 10-12 parallel projects over the course of one semester.

Our approach focuses on measuring the success of three key workflows, namely Merge Management, Continuous Integration and Continuous Delivery. We show how these metrics help the instructors to keep track of the progress of multiple projects running at the same time, enabling them to identify and react to problems early.

References

[1]

L. Alperowitz, Dora Dzvonyar, and B. Bruegge. iOS Praktikum SS 2015, July 2015. http://www1.in.tum.de/ios15.

Google Scholar

[2]

K. Beck, M. Beedle, et al. Manifesto for agile software development. The Agile Alliance, 2001.

Google Scholar

[3]

B. Bruegge, S. Krusche, and L. Alperowitz. Software engineering project courses with industrial clients. ACM Transactions on Computing Education (TOCE), 15(4):17, 2015.

Digital Library

Google Scholar

[4]

V. Driessen. A successful Git branching model, 2010. http://bit.ly/1TghAwL.

Google Scholar

[5]

A. H. Dutoit and B. Bruegge. Communication metrics for software development. IEEE Transactions on Software Engineering, 24(8):615--628, 1998.

Digital Library

Google Scholar

[6]

P. M. Duvall, S. Matyas, and A. Glover. Continuous Integration: Improving Software Quality and Reducing Risk. Addison-Wesley, 2007.

Digital Library

Google Scholar

[7]

D. Dzvonyar, S. Krusche, and L. Alperowitz. Real projects with informal models. In MODELS'14 - Proceedings of the 10th Educators' Symposium, 2014.

Google Scholar

[8]

N. E. Fenton and M. Neil. Software metrics: roadmap. In Proceedings of the Conference on the Future of Software Engineering, pages 357--370. ACM, 2000.

Digital Library

Google Scholar

[9]

R. B. Grady. Successfully applying software metrics. Computer, 27(9):18--25, 1994.

Digital Library

Google Scholar

[10]

J. Humble and D. Farley. Continuous delivery: reliable software releases through build, test, and deployment automation. Pearson Education, 2010.

Digital Library

Google Scholar

[11]

C. Kaner et al. Software engineering metrics: What do they measure and how do we know? In Proceedings of METRICS'04, 2004.

Google Scholar

[12]

S. Krusche and L. Alperowitz. Introduction of Continuous Delivery in Multi-customer Project Courses. In Companion Proceedings of the 36th International Conference on Software Engineering, pages 335--343. ACM, 2014.

Digital Library

Google Scholar

[13]

K. Schwaber and M. Beedle. Agile Software Development with Scrum. Prentice Hall PTR, Upper Saddle River, NJ, USA, 1st edition, 2001.

Digital Library

Google Scholar

Cited By

View all

Hardt R(2020)A software maintenance-focused process and supporting toolset for academic environments2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME46990.2020.00042(360-370)Online publication date: Sep-2020
https://doi.org/10.1109/ICSME46990.2020.00042
Raza MFaria J(2020)The ProcessPAIR Method for Automated Software Process Performance AnalysisIEEE Access10.1109/ACCESS.2020.30133288(141569-141583)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3013328
Raza MFaria JSalazar R(2019)Assisting software engineering students in analyzing their performance in software developmentSoftware Quality Journal10.1007/s11219-018-9433-727:3(1209-1237)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s11219-018-9433-7
Show More Cited By

Index Terms

Metrics in Agile project courses
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management

Recommendations

Software Engineering Project Courses with Industrial Clients
Special Issue on Team Projects in Computing Education

There is an acknowledged need for teaching realistic software development in project courses. The design space for such courses is wide, ranging from single-semester to two-semester courses, from single-client to multicustomer courses, from local to ...
Understanding devops education with grounded theory
ICSE-SEET '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering Education and Training

DevOps stands for Development-Operations. It arises from the IT industry as a movement aligning development and operations teams. DevOps is broadly recognized as an IT standard, and there is high demand for DevOps practitioners in industry. Since ACM & ...
Understanding DevOps education with Grounded theory
ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings

DevOps stands for Development-Operations. It arises from the IT industry as a movement aligning development and operations teams. DevOps is broadly recognized as an IT standard, and there is high demand for DevOps practitioners in industry. Therefore, ...

Comments

Information & Contributors

Information

Published In

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

May 2016

946 pages

ISBN:9781450342056

DOI:10.1145/2889160

General Chair:
Laura Dillon
Michigan State University
,
Program Chairs:
Willem Visser
Stellenbosch University, South Africa
,
Laurie Williams
North Carolina State University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ICSE '16

Sponsor:

ACM
SIGSOFT
IEEE-CS\TCSE
IEEE-CS\DATC

ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

Acceptance Rates

Overall Acceptance Rate 276 of 1,856 submissions, 15%

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
477
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Hardt R(2020)A software maintenance-focused process and supporting toolset for academic environments2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME46990.2020.00042(360-370)Online publication date: Sep-2020
https://doi.org/10.1109/ICSME46990.2020.00042
Raza MFaria J(2020)The ProcessPAIR Method for Automated Software Process Performance AnalysisIEEE Access10.1109/ACCESS.2020.30133288(141569-141583)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3013328
Raza MFaria JSalazar R(2019)Assisting software engineering students in analyzing their performance in software developmentSoftware Quality Journal10.1007/s11219-018-9433-727:3(1209-1237)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s11219-018-9433-7
Bai XPei DLi MLi S(2018)The DevOps Lab Platform for Managing Diversified Projects in Educating Agile Software Engineering2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8658817(1-5)Online publication date: Oct-2018
https://doi.org/10.1109/FIE.2018.8658817
Scott AKreahling WHolliday MBarlowe SZilora SAyers TBogaard D(2017)A Holistic Capstone ExperienceProceedings of the 18th Annual Conference on Information Technology Education10.1145/3125659.3125680(1-6)Online publication date: 27-Sep-2017
https://dl.acm.org/doi/10.1145/3125659.3125680
Johanssen JKleebaum ABruegge BPaech B(2017)Towards the Visualization of Usage and Decision Knowledge in Continuous Software Engineering2017 IEEE Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT.2017.18(104-108)Online publication date: Sep-2017
https://doi.org/10.1109/VISSOFT.2017.18

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Software Engineering Project Courses with Industrial Clients

Understanding devops education with grounded theory

Understanding DevOps education with Grounded theory