Publication:

An Exploratory Study on Regression Vulnerabilities

Date

Date

Date
2022
Conference or Workshop Item
Published version

Citations

Citation copied

Braz, L., Fregnan, E., Arora, V., & Bacchelli, A. (2022). An Exploratory Study on Regression Vulnerabilities (F. Madeiral, C. Lassenius, T. Conte, & T. Männistö, Eds.; pp. 12–22). ACM. https://doi.org/10.1145/3544902.3546250

Abstract

Abstract

Abstract

Background: Security regressions are vulnerabilities introduced in a previously unaffected software system. They often happen as a result of code changes (e.g., a bug fix) and can have severe effects.

Aims: We aim to increase the understanding of security regressions.

Method: To this aim, we perform an exploratory, mixed-method case study of Mozilla. First, we analyze 78 regression vulnerabilities and 72 bug reports where a bug fix introduced a regression vulnerability at Mozilla. We investigate how developers interact in these bug

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Creators (Authors)

Event Title

Event Title

Event Title
ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement

Event Location

Event Location

Event Location
Helsinki Finland

Event Start Date

Event Start Date

Event Start Date
2022-10-19

Event End Date

Event End Date

Event End Date
2022-10-23

Publisher

Publisher

Publisher

Page range/Item number

Page range/Item number

Page range/Item number
12

Page end

Page end

Page end
22

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Date available

Date available

Date available
2023-03-10

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
9781450394277

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
Unspecified

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:23370

Official URL

Official URL

Official URL

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Citations

Citations

Citation copied

Braz, L., Fregnan, E., Arora, V., & Bacchelli, A. (2022). An Exploratory Study on Regression Vulnerabilities (F. Madeiral, C. Lassenius, T. Conte, & T. Männistö, Eds.; pp. 12–22). ACM. https://doi.org/10.1145/3544902.3546250

Hybrid Open Access
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