Continuous Usage- and Rationale-based Evolution Decision Support (CURES)

Recently, continuous software engineering (CSE) has emerged as an approach to develop, release and learn from software in short, rapid cycles. This supports developers during software evolution through enhanced user involvement based on rapid and continuous user feedback and through tool support for development, delivery, and change of feature increments.

CURES aims to extend this approach through innovative methods for user understanding, decision capture integrated with the feature increments, and exploitation of usage and rational knowledge for software evolution.

The overall vision of CURES is continuous usage and rationale-based software engineering where

  • developers continuously deliver feature-based increments of software to users and knowledge to (fellow) developers.
  • developers continuously reflect the user behavior and user feedback in their evolution decisions. After every feature release, user behavior is monitored and new user feedback is captured. This run-time knowledge is semi-automatically analyzed, visualized, and related to the corresponding feature and other knowledge so that necessary changes to the software can be identified and incorporated in future releases.
  • developers continuously reflect both design-time and run-time knowledge in their evolution decisions and in particular the rationale of decisions made for previous increments. Naturalistic and rational developer decisions and their related knowledge are captured in a lightweight process through annotations in the corresponding artifacts (code, issues/work items) and through semi-automatic support. This decision knowledge is semi-automatically analyzed and visualized to support knowledge exploitation during evolution, in particular for impact analysis.

In order to empirically underline this vision, we study how continuous software engineering is currently used in industry. To empirically validate this vision, we develop corresponding methods and tools and apply them in the CoCoME case study and in complex student projects with industry customers.

CURES is a follow-up project of the URES project within the DFG priority programme 1593.



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'Continuous Management of Requirement Decisions Using the ConDec Tools' received the best paper award on the tool track of REFSQ'20 (pitch)

2020-2023 Barbara Paech member of DFG review board "software engineering and programing languages"

The IoT-Platform "HEIOT" was developed during the ISE project

Anja Kleebaum et al. 'Continuous Design Decision Support'. Chapter published in 'Managed Software Evolution' (2019)

CURES paper received the best paper award on ICSSP 2018

Barbara Paech received 'Special Mentions for Most Effective Discussion Leader' on RE 2019 in Jeju