Generative AI for Test Case Generation - Master Thesis Opportunity IBM
Anzeige vom: 23.12.2024

Generative AI for Test Case Generation - Master Thesis Opportunity

Standort:
  • Frankfurt am Main
IBM

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

Network
Machine Learning
Software-Engineering
Reason
Cloud
Progress
Perl
CAN
Mobile App
Make
Hybrid
Java
TLS
MOST
Support
Programmiersprachen
Continuous Integration
Computer
Engineering
Flexibilität

Unsere Leistungen

Weiterbildungsmaßnahmen

Stellenbeschreibung

About Business UnitAt IBM Infrastructure, we help our clients envision the future by offering end-to-end IT and technology support services,

supported by an unmatched global delivery network. It's a unique blend of bold new ideas and client-first thinking. If you can restlessly

reinvent yourself and solve problems in new ways, work on both technology and business projects, and ask: "What else is possible?" - IBM Infrastructure is the place for you!

Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.



Ihre Aufgaben


IBM Generative AI for Test Case Generation - Master Thesis Opportunity in Frankfurt, Germany

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 1. 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. 2. Data collection: Gather a representative dataset of Java and Perl codebases to serve as a basis for developing and evaluating the proposed strategies. 3. 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. 4. 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. 5. 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. 6. 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., Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.



Ihr Profil


  • Strong background in computer science, mathematics, or a related field. Familiarity with artificial intelligence, machine learning, and software engineering is required. 2. Proficiency in programming languages such as Java and Perl. 3. Excellent analytical and problem-solving skills. 4. Ability to work independently and collaboratively in a dynamic environment. 5. 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)

  • 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

      Adresse:

      IBM
      Pascalstr 100
      70569 Stuttgart