optimization of Software Systems driven by the Wisdom of Crowds

The popularity of smartphones is leading to an ever growing number of mobile apps that are published in official app stores. However, users might experience failures and crashes for some apps installed on their devices. For developers, diagnosing failures that users experience is a major challenge, since the diversity of contextual conditions makes it difficult to reproduce unexpected behaviors that emerge in the field. This project aims to drastically improve the quality of mobile apps by assisting developers to reproduce failures, based on the experience faced by a multitude of individuals.

Faculty Supervisor:

Gram Adams

Student:

Maria Gomez Lacruz

Partner:

Discipline:

Computer science

Sector:

University:

Program:

Globalink

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