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Don't see a fit at this time?' data-component="headline" data-mod="h1" > Want to know what it's like to be an IBMer?
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Don't see a fit at this time?

Standort:
  • Frankfurt am Main
IBM Deutschland GmbH

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Praktikum

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
Network
Software-Engineering
Cloud
Perl
Testdurchführung
Java
TLS
MOST
Support
Programmiersprachen
Continuous Integration
Engineering

Unsere Leistungen

Weiterbildungsmaßnahmen

Stellenbeschreibung

Generative AI for Test Case Generation - Master Thesis Opportunity

  • Frankfurt, DE
  • Cloud
  • Internship

Generative AI for Test Case Generation - Master Thesis Opportunity

  • Frankfurt, DE
  • Cloud
  • Internship

Introduction
The IBM Technology Lifecycle Services (TLS) department "The ITCenter" is responsible for a global service called ECuRep (Enhanced Customer Data Repository). Currently we are transitioning this service to cloud readiness and AI (Artificial Intelligence) integration. Your opportunity is to support this transition with an AI project.
Your Objective: Develop and evaluate strategies to automatically generate test cases with high coverage for large codebases primarily written in Java and Perl using generative AI techniques.
Your Role and Responsibilities

  • Literature review: Conduct a comprehensive literature review on existing methods for automatic test case generation, machine learning, and generative AI. Identify state-of-the-art techniques and potential gaps in the current research.
  • Data collection: Gather a representative dataset of Java and Perl codebases to serve as a basis for developing and evaluating the proposed strategies.
  • Model selection: Experiment with various generative AI models, such as Transformers or Variational Autoencoders, and select the most suitable ones based on performance and feasibility. Develop prompting strategies.
  • Evaluation: Evaluate the generated test cases' quality and coverage using metrics such as fault detection rate, mutation score, and branch coverage. Compare the results with those obtained from traditional manual testing methods.
  • Strategy formulation: Based on the evaluation results, formulate strategies for efficiently generating test cases with high coverage for large codebases. Provide recommendations for integrating the proposed strategies into existing continuous integration/continuous deployment (CI/CD) pipelines.
  • Presentation and dissemination: Present your findings in a final report and defend your thesis in front of a committee. Disseminate your results through academic publications, conference presentations, and workshops.

    • Required Technical and Professional Expertise

  • Strong background in computer science, mathematics, or a related field. Familiarity with artificial intelligence, machine learning, and software engineering is required.
  • Proficiency in programming languages such as Java and Perl.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaboratively in a dynamic environment.
  • Good communication skills in English and German, both oral and written.

    • Prerequisites: Completion of a relevant bachelor's degree program or equivalent. Successful completion of at least basic courses in artificial intelligence, machine learning, and software engineering is recommended.

    Preferred Technical and Professional Expertise
    Interest in new technologies like AI and ability to quickly learn new things.
    Good German language skills (spoken & written)

    Want to know what it's like to be an IBMer?

    Key Job Details

    Role:Generative AI for Test Case Generation - Master Thesis Opportunity
    Location:Frankfurt, DE
    Category:Cloud
    Employment Type:Full-Time
    Travel Required:No Travel
    Contract Type:Internship
    Company:(7240) IBM Deutschland GmbH
    Req ID:740153BR

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    Profil

    Fachliche Voraussetzung

    • Continuous Delivery, Continuous Integration, Datensammlung, Demonstrations-Fähigkeiten, Experimentieren, Fehler Erkennen, Generative AI, Informatik, Java, Kundendatenmanagement, Künstliche Intelligenz, Machine Learning, Manuelle Prüfung, Mathematik, Metriken, Mutationen (Biologie), Perl, Programming Languages, Publizieren, Softwareentwicklung, Strategisches Management, Technologie-Lebenszyklus, Testfall, Transformer, Variational Autoencoders, Veranstaltungsmanagement

    Persönliche Fähigkeiten

    • Analytisches Denken, Eigenmotivation, Kommunikation, Neugier, Problemanalyse, Strategisches Denken

    Schulabschluss

    • Bachelor

    Sprachkenntnisse

    • Deutsch, Englisch

    Bewerbung

      Branche:

      Handel

      Arbeitgeber:

      IBM Deutschland GmbH

      Adresse:

      IBM Deutschland GmbH
      Laatzener Str 1
      30539 Hannover

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