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  • Evaluation of KPI Monitoring

    Tools for an Automotive

    Supplier

    Master Thesis

    submitted in fulfilment of the requirements for the academic degree

    M.Sc. in Automotive Software Engineering

    Department of Computer Science

    Professorship of Computer Engineering

    Submitted by: Hasnain Haider Baig, Mirza

    Matrikel-Nr: 303912

    Professor: Prof. Dr. W. Hardt

    Supervisors: Dr. Ariane Heller

    Dipl. Wirt.-Inf. Uwe Kirst,

    Mentor Graphics Development (Deutschland) GmbH

  • ___________________________________________________________________________

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    Declaration of Authorship

    I, Hasnain Haider Baig Mirza, assure that the thesis Evaluation of KPI Monitoring Tools for

    an Automotive Supplier is my own work under the guidance of my supervisors. The data

    collected during the literature review and referred in this document is given due

    acknowledgement. All the references and helping materials are enlisted in the Bibliography

    with all sincerity.

    Signature: _____________________

    Date: _________________________

  • ___________________________________________________________________________

    ii | P a g e

    Abstract

    Automotive SPICE is used to evaluate the efficiency of the development processes for OEMs

    and ECU suppliers. It is a domain specific version of SPICE. Many automotive manufacturers

    are demanding Automotive SPICE level 2 from their suppliers. Application life cycle

    management solutions specific to automotive industry focus more on standardisation yet

    providing very little information about performance of processes. This thesis shows how

    Business Intelligence (BI) solutions can be helpful in achieving Automotive SPICE level 2

    compliance and as comprehensive reporting tools. Moreover the evaluation of approaches for

    implementation of different BI systems has shown that commercial solutions can be beneficial

    for small to medium size suppliers. Implementing a BI solution can also point out possible

    improvement opportunities and bad practices for an organisation. The implemented BI system

    can only be efficient and useful if the underlying data is accurate and responsive.

  • ___________________________________________________________________________

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    Acknowledgements In the name of Allah, the Most Gracious, the Most Merciful.

    First I would like to give my deep gratitude to the people around me during the work of my

    master thesis. Secondly, I would like to show my appreciation to my mum, who showed her

    encouraging attitude during the entire span of my master program with her affections and

    moral support. I am and will be grateful to my dad (who passed away), for his love and

    support. I cannot thank enough to my supervisor Mr. Uwe Kirst at Mentor Graphics

    Automotive Business Unit in Villingen-Schwenningen, who was abundantly helpful and

    offered invaluable guidance throughout my work. Indeed something as complex as Master

    thesis could not have been completed without his suggestions, comments, dedicated time and

    his always responsive behaviour. I would also like to take this opportunity to express my

    gratitude to Mr. Michael Maier for granting me extra time for the completion of my thesis due

    to my health issues. Moving to the academic side, my Professor, Dr. Wolfram Hardt

    contributed to the development of my skills even before my thesis had started. These skills

    certainly helped me better understand the engineering problems and taught me the art of

    technical documentations. Furthermore, Dr. Ariane Heller was great source of motivation

    especially because of the points she raised during my concept presentation and her guidance

    regarding the official matters which helped a lot in the management of thesis.

  • ___________________________________________________________________________

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    Table of Contents Declaration of Authorship ........................................................................................................... i

    Abstract ...................................................................................................................................... ii

    Acknowledgements ................................................................................................................... iii

    Table of Contents ...................................................................................................................... iv

    List of Figures .......................................................................................................................... vii

    List of Tables ........................................................................................................................... viii

    Abbreviations ............................................................................................................................ ix

    1. Introduction ........................................................................................................................ 1

    1.1 Motivation ................................................................................................................... 2

    1.2 Problem Statement ....................................................................................................... 3

    1.3 Contribution of Thesis ................................................................................................. 5

    1.4 Structure of Thesis ....................................................................................................... 6

    2. Background ........................................................................................................................ 7

    2.1 Automotive SPICE ...................................................................................................... 7

    2.1.1 The Process Dimension ........................................................................................ 9

    2.1.2 The Capability Dimension ................................................................................. 11

    2.2 Achieving Level 2 Automotive SPICE Compliance ................................................. 13

    2.3 Key Performance Indicators (KPIs) .......................................................................... 20

    2.4 Business Intelligence ................................................................................................. 22

    2.4.1 Implementation of BI System ............................................................................ 22

    2.4.2 Business Intelligence Tools ................................................................................ 23

    2.5 Datasets ...................................................................................................................... 24

    2.5.1 JIRA ................................................................................................................... 24

    2.5.2 Excel Files .......................................................................................................... 25

    2.5.3 OpenAir .............................................................................................................. 26

    2.5.4 Jenkins ................................................................................................................ 26

    Summary .............................................................................................................................. 27

    3. State of the Art ................................................................................................................. 28

    3.1 Importance of Automotive SPICE ............................................................................. 28

  • ___________________________________________________________________________

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    3.1.1 Benefits of Automotive SPICE .......................................................................... 30

    3.1.2 Current Trends in Automotive Industry ............................................................. 30

    3.2 Requirements of a KPI Monitoring Tool ................................................................... 31

    3.2.1 Functional Requirements .................................................................................... 31

    3.2.2 Non-Functional Requirements ........................................................................... 31

    3.3 Current Situation ........................................................................................................ 32

    3.4 Previous Proposals ..................................................................................................... 36

    3.4.1 First Proposal Microsoft Office with Scripting .................................................. 36

    3.4.2 Second Proposal Database with Scripting .......................................................... 37

    Summary .............................................................................................................................. 39

    4. Evaluation of Approaches ................................................................................................ 40

    4.1 Polarion ALM ............................................................................................................ 40

    4.2 In-House development ............................................................................................... 42

    4.3 Business Intelligence System Based Appr