ASPLe: A methodology to develop self-adaptive software systems with systematic reuse
•Design and develop product lines of self-adaptive software systems with reuse.•Self-adaptive software systems share adaptation logic that can be exploited for reuse.•Methodology (process support) to develop self-adaptive systems with reuse.•Variability management and uncertainties in the developmen...
Saved in:
| Published in: | The Journal of systems and software Vol. 167; p. 110626 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Inc
01.09.2020
|
| Subjects: | |
| ISSN: | 0164-1212, 1873-1228, 1873-1228 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | •Design and develop product lines of self-adaptive software systems with reuse.•Self-adaptive software systems share adaptation logic that can be exploited for reuse.•Methodology (process support) to develop self-adaptive systems with reuse.•Variability management and uncertainties in the development of self-adaptive systems.•Reasoning frameworks are helpful to mitigate uncertainties in design decisions.
More than two decades of research have demonstrated an increasing need for software systems to be self-adaptive. Self-adaptation manages runtime dynamics, which are difficult to predict before deployment. A vast body of knowledge to develop Self-Adaptive Software Systems (SASS) has been established. However, we discovered a lack of process support to develop self-adaptive systems with reuse. The lack of process support may hinder knowledge transfer and quality design. To that end, we propose a domain-engineering based methodology, Autonomic Software Product Lines engineering (ASPLe), which provides step-by-step guidelines for developing families of SASS with systematic reuse. The evaluation results from a case study show positive effects on quality and reuse for self-adaptive systems designed using the ASPLe compared to state-of-the-art engineering practices. |
|---|---|
| ISSN: | 0164-1212 1873-1228 1873-1228 |
| DOI: | 10.1016/j.jss.2020.110626 |