COL.01 / 08
Spotlight on Transactions.
I write a monthly column for IEEE Computer. The goal is amplification, not summary — surface the field’s most important journal papers in software engineering and put them in front of an audience that would otherwise never find them, in a form a busy reader can absorb in fifteen minutes.
Editorial mandate.
The editorial brief, the three operating objectives, and a small note on how issue numbers are recorded.
// ABSTRACT
A great paper that nobody finds is a paper that didn’t happen. Editorial service is how the SE community decides what gets seen.
I serve on the editorial board of IEEE Computer and write the monthly Spotlight on Transactions column. Each piece picks one recent paper from the IEEE Transactions catalog — TSE, TOSEM, EMSE, and adjacent venues — and translates it into a fifteen-minute read for a broader audience.
The goal is not summary — it is amplification: making sure the field’s best ideas reach the people who can use them.
// OBJECTIVES · 03
-
O.01
Read across the journal landscapeTrack top-tier venues — TSE, TOSEM, EMSE, and the wider Transactions catalog — so the column is sourced from the field’s most rigorous work, not just the loudest.
-
O.02
Identify the work that genuinely mattersFilter for results that change practice or recalibrate research direction — not just incremental wins on a familiar benchmark.
-
O.03
Translate for the busy readerCompress each paper into a fifteen-minute read — honest about scope, careful with claims, and free of jargon that would lose a practitioner audience.
// NOTE · Volume / issue numbers are recorded from the IEEE Computer table of contents — please cross-check against IEEE Xplore before citing.
Authored columns.
Spotlight on Transactions entries and Software Engineering Column pieces published in IEEE Computer — newest first.
2026
01 column
2025
07 columns
COL.02 / 08
From Heuristics to Intelligence: LLM-Driven Test Case Generation
COL.03 / 08
Prompt Alchemy: Engineering the Magic of Code
COL.04 / 08
Breaking Bottlenecks in LLM Inference With Adaptive Cache Management
COL.05 / 08
When Databases Age: How SQL Server and MySQL Handle the Test of Time
COL.06 / 08
Smarter, Not Harder: Efficient AI Training With Selective Data
COL.07 / 08
Pixels of Deception: How Evolutionary Algorithms Break AI Reliability
COL.08 / 08