Oct 2026· International Symposium for Testing and Failure Analysis· 0 citations
Abstract
The increasing demand for compute power is pushing system scaling toward advanced 3D and backside-integrated architectures. While the wafer backside opens a dynamic design space with new opportunities to optimize power delivery in scaled systems, it also introduces significant challenges for failure analysis (FA). In particular, the application of traditional backside optical fault isolation techniques, widely used for decades, becomes increasingly limited at current leading-edge nodes. As a result, a variety of alternative fault-isolation techniques, including X-ray, thermal, magnetic, and electron-beam approaches, are actively used and developed. Among these, magnetic-field-based techniques enable non-invasive access to buried current paths and connectivity defects, owing to the ability of magnetic fields to propagate through insulators, semiconductors, and metals with minimal disturbance. Early implementations of magnetic field imaging in FA predominantly relied on scanning-probe approaches based on SQUID and GMR sensors. More recently, however, quantum diamond microscopy (QDM) based on nitrogen-vacancy (NV) color centers has gained significant attention, as it enables quantitative current imaging through vector magnetic-field measurements with full-field, parallel, camera-based readout.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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