The continuous scaling of microelectronic technologies has made back-end-of-line (BEOL) interconnect reliability increasingly sensitive to non-uniform thermal conditions. Reduced interconnect dimensions, high current densities, Joule heating, and nearby heat sources can generate pronounced temperature gradients along metal lines. Under such conditions, temperature is no longer merely a scalar parameter controlling diffusion kinetics: its spatial gradient introduces an additional driving force for atomic transport, known as thermomigration (TM). The resulting mass transport can interact with electromigration (EM) and stress migration (SM), thereby modifying void nucleation, void growth, and ultimately interconnect lifetime. This PhD investigates the impact of thermal gradients on the reliability of metal interconnects, with a particular focus on Cu interconnects. Experimental studies are combined with finite-element simulations and analytical modelling to quantify temperature distributions, thermally driven atomic transport, and the resulting reliability degradation. Dedicated test structures are used to investigate TM-induced void formation and growth under controlled non-uniform temperature fields. Analytical and numerical models are developed to describe TM-driven mass transport and to predict critical regions for void nucleation and growth. The interaction of TM with other driving forces, particularly EM and mechanically induced stress gradients, is also investigated to establish a more complete description of atomic flux under realistic operating conditions. The developed framework further enables lifetime estimation under combined electrical and thermal loading. The results demonstrate that sufficiently strong and non-uniform temperature distributions can significantly alter interconnect degradation and, under relevant conditions, make TM an important contributor to reliability failure. This work provides a physics-based framework for assessing interconnect reliability in the presence of thermal gradients and supports more accurate lifetime prediction for advanced microelectronic technologies.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
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Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
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This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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