Resource-Centric Goal Model Slicing for Detecting Feature Interactions

Zedong Peng; Mahima Dahiya; Tessneem Khalil; Nan Niu; Tanmay Bhowmik; Yilong Yang

doi:10.1109/IRI58017.2023.00018

Resource-Centric Goal Model Slicing for Detecting Feature Interactions

Zedong Peng
, Mahima Dahiya
, Tessneem Khalil
, Nan Niu
, Tanmay Bhowmik
, Yilong Yang

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Feature interaction (FI) occurs when the requirements are satisfied by the features in isolation but not in composition. We present a novel approach to FI detection via a lightweight modeling of two features' resource dependency. Our preliminary study on two Zoom features shows three types of resource dependency: produce-and-use, state-changing, and mutual-exclusion. We present the testing pattern associated with each type, report the FI testing results, and discuss our long-term directions toward using real-world software's features to ground and evaluate requirements engineering research.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	58-63
Number of pages	6
ISBN (Electronic)	9798350334586
DOIs	https://doi.org/10.1109/IRI58017.2023.00018
State	Published - 2023
Event	24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023 - Bellevue, United States Duration: Aug 4 2023 → Aug 6 2023

Publication series

Name	Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023

Conference

Conference	24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023
Country/Territory	United States
City	Bellevue
Period	08/4/23 → 08/6/23

Keywords

feature interaction
goal-oriented requirements engineering
requirements-based testing

Access to Document

10.1109/IRI58017.2023.00018

Cite this

Peng, Z., Dahiya, M., Khalil, T., Niu, N., Bhowmik, T., & Yang, Y. (2023). Resource-Centric Goal Model Slicing for Detecting Feature Interactions. In Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023 (pp. 58-63). (Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI58017.2023.00018

Peng, Zedong ; Dahiya, Mahima ; Khalil, Tessneem et al. / Resource-Centric Goal Model Slicing for Detecting Feature Interactions. Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 58-63 (Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023).

@inproceedings{709859ef10db49209839b91ffa4aa298,

title = "Resource-Centric Goal Model Slicing for Detecting Feature Interactions",

abstract = "Feature interaction (FI) occurs when the requirements are satisfied by the features in isolation but not in composition. We present a novel approach to FI detection via a lightweight modeling of two features' resource dependency. Our preliminary study on two Zoom features shows three types of resource dependency: produce-and-use, state-changing, and mutual-exclusion. We present the testing pattern associated with each type, report the FI testing results, and discuss our long-term directions toward using real-world software's features to ground and evaluate requirements engineering research.",

keywords = "feature interaction, goal-oriented requirements engineering, requirements-based testing",

author = "Zedong Peng and Mahima Dahiya and Tessneem Khalil and Nan Niu and Tanmay Bhowmik and Yilong Yang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023 ; Conference date: 04-08-2023 Through 06-08-2023",

year = "2023",

doi = "10.1109/IRI58017.2023.00018",

language = "English",

series = "Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "58--63",

booktitle = "Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023",

}

Peng, Z, Dahiya, M, Khalil, T, Niu, N, Bhowmik, T & Yang, Y 2023, Resource-Centric Goal Model Slicing for Detecting Feature Interactions. in Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023. Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 58-63, 24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023, Bellevue, United States, 08/4/23. https://doi.org/10.1109/IRI58017.2023.00018

Resource-Centric Goal Model Slicing for Detecting Feature Interactions. / Peng, Zedong; Dahiya, Mahima; Khalil, Tessneem et al.
Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 58-63 (Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Resource-Centric Goal Model Slicing for Detecting Feature Interactions

AU - Peng, Zedong

AU - Dahiya, Mahima

AU - Khalil, Tessneem

AU - Niu, Nan

AU - Bhowmik, Tanmay

AU - Yang, Yilong

PY - 2023

Y1 - 2023

N2 - Feature interaction (FI) occurs when the requirements are satisfied by the features in isolation but not in composition. We present a novel approach to FI detection via a lightweight modeling of two features' resource dependency. Our preliminary study on two Zoom features shows three types of resource dependency: produce-and-use, state-changing, and mutual-exclusion. We present the testing pattern associated with each type, report the FI testing results, and discuss our long-term directions toward using real-world software's features to ground and evaluate requirements engineering research.

AB - Feature interaction (FI) occurs when the requirements are satisfied by the features in isolation but not in composition. We present a novel approach to FI detection via a lightweight modeling of two features' resource dependency. Our preliminary study on two Zoom features shows three types of resource dependency: produce-and-use, state-changing, and mutual-exclusion. We present the testing pattern associated with each type, report the FI testing results, and discuss our long-term directions toward using real-world software's features to ground and evaluate requirements engineering research.

KW - feature interaction

KW - goal-oriented requirements engineering

KW - requirements-based testing

UR - https://www.scopus.com/pages/publications/85171836711

U2 - 10.1109/IRI58017.2023.00018

DO - 10.1109/IRI58017.2023.00018

M3 - Conference contribution

AN - SCOPUS:85171836711

T3 - Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023

SP - 58

EP - 63

BT - Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023

Y2 - 4 August 2023 through 6 August 2023

ER -

Peng Z, Dahiya M, Khalil T, Niu N, Bhowmik T, Yang Y. Resource-Centric Goal Model Slicing for Detecting Feature Interactions. In Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 58-63. (Proceedings - 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science, IRI 2023). doi: 10.1109/IRI58017.2023.00018

Resource-Centric Goal Model Slicing for Detecting Feature Interactions

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