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Kavishka Gunathilaka

dblp:381/2438 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 50% Software maintenance and evolution · 50%
Network and information security
1 paper
Web and mobile security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › mining software repositories
app store mining
0.912025
Detecting and Characterising Mobile App Metamorphosis in Google Play Store · IEEE Trans. Mob. Comput. 2025
Empirical software engineering
mining software repositories
0.912025
Detecting and Characterising Mobile App Metamorphosis in Google Play Store · IEEE Trans. Mob. Comput. 2025
Software maintenance and evolution › software evolution
mobile app evolution
0.912025
Detecting and Characterising Mobile App Metamorphosis in Google Play Store · IEEE Trans. Mob. Comput. 2025
Software maintenance and evolution
software ecosystems
0.912025
Detecting and Characterising Mobile App Metamorphosis in Google Play Store · IEEE Trans. Mob. Comput. 2025
Web and mobile security
mobile application security
0.312025
Detecting and Characterising Mobile App Metamorphosis in Google Play Store · IEEE Trans. Mob. Comput. 2025

Methods — techniques the papers use, named apart from their topics

snapshot analysis · 1.7multi-modal search · 1.7
YearPublicationVenuePosition
2025 Detecting and Characterising Mobile App Metamorphosis in Google Play Store
abstract
App markets have evolved into highly competitive and dynamic environments for developers. While the traditional app life cycle involves incremental updates for feature enhancements and issue resolution, some apps deviate from this norm by undergoing significant transformations in their use cases or market positioning. We define this previously unstudied phenomenon as ‘app metamorphosis'. In this paper, we propose a novel and efficient multi-modal search methodology to identify apps undergoing metamorphosis and apply it to analyse two snapshots of the Google Play Store taken five years apart. Our methodology uncovers various metamorphosis scenarios, including re-births, re-branding, re-purposing, and others, enabling comprehensive characterisation. Although these transformations may register as successful for app developers based on our defined success score metric (e.g., re-branded apps performing approximately 11.3% better than an average top app), we shed light on the concealed security and privacy risks that lurk within, potentially impacting even tech-savvy end-users.
Dishanika Denipitiyage, Bhanuka Silva, Kavishka Gunathilaka, Suranga Seneviratne, Anirban Mahanti, Aruna Seneviratne, Sanjay Chawla
IEEE Trans. Mob. Comput.3