Abstract is missing.
- Vultron: catching vulnerable smart contracts once and for allHaijun Wang, Yi Li 0008, Shang-Wei Lin, Lei Ma, Yang Liu. 1-4 [doi]
- Assurance in software testing: a roadmapMarcel Böhme. 5-8 [doi]
- (Do not) trust in ecosystemsEmilia Cioroaica, Thomas Kuhn, Barbora Buhnova. 9-12 [doi]
- Detecting suspicious package updatesKalil Garrett, Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner. 13-16 [doi]
- Navigation-aware and personalized prefetching of network requests in Android appsIvano Malavolta, Francesco Nocera, Patricia Lago, Marina Mongiello. 17-20 [doi]
- Towards a cognizant virtual software modeling assistant using model clonesMatthew Stephan. 21-24 [doi]
- Open collaborative data: using OSS principles to share data in SW engineeringPer Runeson. 25-28 [doi]
- Leveraging small software engineering data sets with pre-trained neural networksRomain Robbes, Andrea Janes. 29-32 [doi]
- Mining plausible hypotheses from the literature via meta-analysisJooyong Yi, Vladimir Ivanov 0001, Giancarlo Succi. 33-36 [doi]
- Biofeedback augmented software engineering: monitoring of programmers' mental effortRicardo Couceiro, Gonçalo Duarte, João Durães, João Castelhano, Catarina Duarte, César Alexandre Teixeira, Miguel Castelo-Branco, Paulo de Carvalho 0001, Henrique Madeira. 37-40 [doi]
- Towards effective AI-powered agile project managementHoa Khanh Dam, Truyen Tran 0001, John C. Grundy, Aditya Ghose, Yasutaka Kamei. 41-44 [doi]
- Requirements engineering as science in the smallMunindar P. Singh, Amit K. Chopra. 45-48 [doi]
- Towards predicting the impact of software changes on building activitiesMichele Tufano, Hitesh Sajnani, Kim Herzig. 49-52 [doi]
- Blockchain-based software engineeringMoritz Beller, Joseph Hejderup. 53-56 [doi]
- On testing quantum programsAndriy V. Miranskyy, Lei Zhang 0078. 57-60 [doi]
- Towards a systematic study of values in SE: tools for industry and educationEmily Winter, Stephen Forshaw, Lucy Hunt, Maria Angela Ferrario. 61-64 [doi]
- Robustness and games against nature in molecular programmingJack H. Lutz, Neil Lutz, Robyn R. Lutz, Matthew R. Riley. 65-68 [doi]
- Energy-based anomaly detection a new perspective for predicting software failuresCristina Monni, Mauro Pezzè. 69-72 [doi]
- context to software developmentGail C. Murphy. 73-76 [doi]
- PLUS: performance learning for uncertainty of softwareCatia Trubiani, Sven Apel. 77-80 [doi]
- Simulator-based diff-time performance testingIvan Postolski, Víctor A. Braberman, Diego Garbervetsky, Sebastián Uchitel. 81-84 [doi]
- Towards improved testing for deep learningJasmine Sekhon, Cody Fleming. 85-88 [doi]
- Structural coverage criteria for neural networks could be misleadingZenan Li, Xiaoxing Ma, Chang Xu 0001, Chun Cao. 89-92 [doi]
- Robustness of neural networks: a probabilistic and practical approachRavi Mangal, Aditya V. Nori, Alessandro Orso. 93-96 [doi]
- API fluencyRomain Robbes, Mircea Lungu, Andrea Janes. 97-100 [doi]
- EMaaS: energy measurements as a service for mobile applicationsLuis Cruz, Rui Abreu. 101-104 [doi]
- Conditional compilation is dead, long live conditional compilation!Paul Gazzillo, Shiyi Wei. 105-108 [doi]
- Trade-off-oriented development: making quality attribute trade-offs first-classTobias Dürschmid, Eunsuk Kang, David Garlan. 109-112 [doi]
- Current challenges in practical object-oriented software designMaurício Finavaro Aniche, Joseph W. Yoder, Fabio Kon. 113-116 [doi]