{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T15:31:58Z","timestamp":1772551918691,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Software"],"abstract":"<jats:p>Mobile Software Engineering has emerged as a distinct subfield, raising questions about the transferability of its research findings to general software engineering. This paper addresses the challenge of evaluating the generalizability of mobile-specific research, using Green Computing as a representative case. We propose a combination of systematic methods to identify potentially overlooked mobile-specific papers with a focused literature review to assess their broader relevance. Applying this approach, we find that several mobile-specific studies offer insights applicable beyond their original context, particularly in areas such as energy efficiency guidelines, measurement, and trade-offs. The results demonstrate that systematic identification and evaluation can reveal valuable contributions for the wider software engineering community. The proposed method provides a structured framework for future research to assess the generalizability of findings from specialized domains, fostering greater integration and knowledge transfer across software engineering disciplines.<\/jats:p>","DOI":"10.3390\/software5010012","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T09:45:12Z","timestamp":1772531112000},"page":"12","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing the Generalizability of Mobile Software Engineering Research Through Combined Systematic Methods"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1238-8987","authenticated-orcid":false,"given":"Robin","family":"Nunkesser","sequence":"first","affiliation":[{"name":"Department Hamm 1, Hamm-Lippstadt University of Applied Sciences, Marker Allee 76\u201378, 59063 Hamm, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nunkesser, R. 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