Oryza longistaminata serves as a critical germplasm resource for rice breeding; however, its mitochondrial genome structure and evolutionary characteristics remain largely unexplored. Here, we report the first complete mitochondrial genome of O. longistaminata assembled using PacBio HiFi long-read sequencing data. Employing a hybrid assembly strategy combining Hifiasm and RagTag scaffolding, we successfully obtained a single, self-closed circular mitochondrial genome of 611,640 bp. Genome annotation revealed 42 protein-coding genes (CDSs), 26 tRNA genes, and 3 rRNA genes, with multiple duplicated genes identified, including cox1, cox3, and trnM. Codon usage bias analysis indicated a strong preference for AGA/AGG (Arg), GCU (Ala), and UUG (Leu). The ENc-GC3s plot demonstrated that natural selection, rather than mutational pressure alone, is the dominant driving force shaping codon usage preferences. Additionally, a total of 147 simple sequence repeats (SSRs) and 683 high-confidence RNA editing sites (probability ≥ 90%) were predicted, with the editing sites predominantly concentrated in the respiratory chain core genes ccmC and ccmB. Comparative synteny analysis revealed significant structural rearrangements and fragmentation of specific genes (nad1 and rps2) compared with O. sativa and O. glaberrima. Furthermore, we detected 22,248 bp (3.64%) of chloroplast-derived transfer fragments (MTPT) in the mitogenome, encompassing 32 chloroplast-derived genes (19 CDSs and 13 tRNAs). Our findings provide crucial genomic insights into the structural features, evolutionary mechanisms, and inter-organellar gene transfer of the O. longistaminata mitochondrial genome, laying a foundation for mitochondrial breeding and phylogenetic studies in rice.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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 goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
MIT News · Artificial Intelligence· news.mit.eduSep 11, 2026
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
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