• Ervin Varga


Software maintenance and evolution is usually the longest phase in a large software-intensive system’s life cycle. The major goal of this book is to unearth hidden artifacts in software maintenance and evolution (a technical process) to put you in a better position to seize control over your product. This chapter sets the stage in our quest to unravel the underlying secrets of this process. You may treat this chapter as a user’s guide for this book that explains the importance and role of the subsequent chapters as well as their interrelationships.


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Further Reading

  1. 1.
    Tripathy P, Naik K (2014) Software evolution and maintenance. Wiley, Hoboken, NJ. This book gives you a theoretical background about the software maintenance and evolution knowledge area. It explains all of its major parts, and expands on [2]CrossRefGoogle Scholar

Regular Bibliographic References

  1. 2.
    Bourque P, Fairley RE (eds) (2014) Guide to the Software Engineering Body of Knowledge, Version 3.0. IEEE Computer Society, Piscataway, NJ. Accessed 04 Jul 2017
  2. 3.
    Baldwin D (2011) Is computer science a relevant academic discipline for the 21st century? IEEE Comput Soc 44:81–83CrossRefGoogle Scholar
  3. 4.
    Varga E (2011) The holistic approach to software engineering. 5th international conference on engineering and technology ICET-2011, Phuket, ThailandGoogle Scholar
  4. 5.
    Savić V, Varga E (2017) Extending the SEMAT Kernel with the TDD practice. IET Softw.
  5. 6.
    Lehman MM (1980) Programs, life cycles, and laws of software evolution. Proceed IEEE 68:1060–1076CrossRefGoogle Scholar
  6. 7.
    Fowler M (2003) TechnicalDebt. Accessed 06 Jul 2017
  7. 8.
    Anderson RJ (2008) Security engineering: a guide to building dependable distributed systems, 2nd edn. John Wiley, Hoboken, NJGoogle Scholar
  8. 9.
    Denning PJ (2011) The grounding practice. Commun ACM 54(12):38–40CrossRefGoogle Scholar
  9. 10.
    Jones C (2006) The economics of software maintenance in the twenty first century – version 3. Accessed 16 Aug 2017
  10. 11.
    Green R, Ledgard H (2011) Coding guidelines: finding the art in the science. Commun ACM 54(12):57–63CrossRefGoogle Scholar
  11. 12.
    Jacobson I, Meyer B (2009) Methods need theory. Accessed 18 Aug 2017
  12. 13.
    Jacobson I, Spence I (2009) Why we need a theory for software engineering. Accessed 18 Aug 2017
  13. 14.
    Bennett K, Rajlich V (2000) Software maintenance and evolution: a roadmap. Accessed 18 Aug 2017
  14. 15.
    McConnell S (2011) Origins of 10X – how valid is the underlying research?–_How_Valid_is_the_Underlying_Research_. Accessed 19 Aug 2017
  15. 16.
    Sommerville I, Cliff D, Calinescu R, Keen J, Kelly T, Kwiatkowska M, McDermid J, Paige R (2012) Large-scale complex IT systems. Commun ACM 55(7):71–77CrossRefGoogle Scholar
  16. 17.
    Pardon G (2008) Loosely-coupled deployment vs loosely-coupled design. Accessed 23 Aug 2017

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Ervin Varga
    • 1
  1. 1.Expro I.T. ConsultingKikindaSerbia

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