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Scientific Software Engineering: Mining Repositories to gain insights into BACARDI

Kurnatowski, Lynn von and Stoffers, Martin and Weigel, Martin and Meinel, Michael and Wasser, Y. and Rack, Kathrin and Fiedler, Hauke (2020) Scientific Software Engineering: Mining Repositories to gain insights into BACARDI. In: 2020 IEEE Aerospace Conference, AERO 2020, pp. 1-10. 2020 IEEE Aerospace Conference, 7.-14. March 2020, Big Sky, MT, USA. doi: 10.1109/AERO47225.2020.9172261. ISBN 978-172812734-7. ISSN 1095-323X.

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Official URL: https://ieeexplore.ieee.org/abstract/document/9172261

Abstract

For Space Situational Awareness, the German Aerospace Center (DLR) develops the software system "Backbone Catalogue of Relational Debris Information" (BACARDI), which allows for keeping track of resident space objects. BACARDI's key features are automated processing services which produce orbit information and products like collision warnings. We present how we applied new methods of software analytics to the BACARDI project. BACARDI is an example of a complex software system with large development effort carried out by a team of various specialists. Our goal is to design and implement an efficient software development process, balancing the explorative character of a research project and operational requirements (i.e. tailored from official standards in the aerospace domain). Therefore, we established a software development process for the project where we focus on software quality. We applied methods to structure, communicate, and utilize the diverse skills, knowledge, and experience in the team concisely and precisely. After one year of practical utilization, we analyzed the process based on the repository data. By analyzing these data, we assess and prove the effects of the introduced process on the development of a software, which is used in the aerospace domain.

Item URL in elib:https://elib.dlr.de/135850/
Document Type:Conference or Workshop Item (Speech)
Title:Scientific Software Engineering: Mining Repositories to gain insights into BACARDI
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kurnatowski, Lynn vonlynn.kurnatowski (at) dlr.dehttps://orcid.org/0000-0001-5144-702X
Stoffers, MartinMartin.Stoffers (at) dlr.dehttps://orcid.org/0000-0003-2987-4345
Weigel, MartinMartin.Weigel (at) dlr.deUNSPECIFIED
Meinel, Michaelmichael.meinel (at) dlr.dehttps://orcid.org/0000-0001-6372-3853
Wasser, Y.Yi.Wasser (at) dlr.deUNSPECIFIED
Rack, KathrinKathrin.Rack (at) dlr.dehttps://orcid.org/0000-0002-5794-5705
Fiedler, HaukeHauke.Fiedler (at) dlr.deUNSPECIFIED
Date:August 2020
Journal or Publication Title:2020 IEEE Aerospace Conference, AERO 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1109/AERO47225.2020.9172261
Page Range:pp. 1-10
ISSN:1095-323X
ISBN:978-172812734-7
Status:Published
Keywords:Repository Mining Software Engineering
Event Title:2020 IEEE Aerospace Conference
Event Location:Big Sky, MT, USA
Event Type:international Conference
Event Dates:7.-14. March 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Project Space Debris (old)
Location: Berlin-Adlershof , Köln-Porz , Oberpfaffenhofen
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institut of Simulation and Software Technology > Distributed Systems and Component Software
Space Operations and Astronaut Training
Deposited By: Kurnatowski, Lynn
Deposited On:14 Sep 2020 13:24
Last Modified:16 Dec 2020 14:23

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