Relevant bibliographies by topics / SDLC Phases

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'SDLC Phases'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "SDLC Phases"

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Alzayed, A., and Abdulwahed Khalfan. "Understanding Top Management Involvement in SDLC Phases." International Journal of Computer Applications 183, no. 37 (2021): 30–49. http://dx.doi.org/10.5120/ijca2021921759.

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Sisodia, Jyoti, and Dr Suraj V. Pote. "Discussing Phases and Models of Software Development Life Cycle." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28176.

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Software Development is one of the most powerful, vital, and the need for an hour in today's generation. Every organization, industries, small firms, institutes, etc. require the software for the functionality of their system and reducing the manual work or the traditional work, which used to be insecure and had more errors. SDLC is all about the minimization of the risk and failure and maximization of the quality of the product. To make the development works in a step by step procedure and precisely SDLC came into existence. The SDLC defines the framework that includes different activities and tasks to be carried out during the software development process. There are many types of SDLC models, which have their advantages and disadvantages and will work as per their needs. Keywords: Software Development Life Cycle, Models, Prototype, Modeling, Development, Risk Analysis and, Comparative Analysis.
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Sawarkar, Gurudev, and Dipesh Rajput. "Comparative Analysis of Various Software Development Life Cycle." International Journal of Computer Science and Mobile Computing 11, no. 8 (2022): 1–8. http://dx.doi.org/10.47760/ijcsmc.2022.v11i08.001.

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Software development life cycle is the process used by the software industry to design, build, and test high-quality software. SDLC's primary objective is to provide high-quality software that exceeds customer expectations. SDLC may also be referred to as Application Development Life Cycle. SDLC is not a technique; rather, it is a description of several phases. Participate in software development from project design to deployment. Sustainment. These SDLC phases serve as a roadmap for project activities. In our in this study, we describe many SDLC models (Waterfall, Spiral, V-Model, Iterative,). Rapid Application Development Model).
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Shankar, Sahana P., and Shilpa Shashikant Chaudhari. "Framework for the Automation of SDLC Phases using Artificial Intelligence and Machine Learning Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 6s (2023): 379–90. http://dx.doi.org/10.17762/ijritcc.v11i6s.6944.

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Software Engineering acts as a foundation stone for any software that is being built. It provides a common road-map for construction of software from any domain. Not following a well-defined Software Development Model have led to the failure of many software projects in the past. Agile is the Software Development Life Cycle (SDLC) Model that is widely used in practice in the IT industries to develop software on various technologies such as Big Data, Machine Learning, Artificial Intelligence, Deep learning. The focus on Software Engineering side in the recent years has been on trying to automate the various phases of SDLC namely- Requirements Analysis, Design, Coding, Testing and Operations and Maintenance. Incorporating latest trending technologies such as Machine Learning and Artificial Intelligence into various phases of SDLC, could facilitate for better execution of each of these phases. This in turn helps to cut-down costs, save time, improve the efficiency and reduce the manual effort required for each of these phases. The aim of this paper is to present a framework for the application of various Artificial Intelligence and Machine Learning techniques in the different phases of SDLC.
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rof. Dr. S.D. Joshi, Prof Y. C. Kulkarni, P. "Incorporating Security into SDLC Phases Using Security Analysis." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 07 (2015): 6423–31. http://dx.doi.org/10.15680/ijircce.2015.0307010.

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Balocon, Owen Harvey. "PRIORITIZING INFORMATION SECURITY: ANALYSIS OF SOFTWARE DEVELOPMENT LIFE CYCLE METHODOLOGIES USING THE NIST CYBERSECURITY FRAMEWORK." Ignatian International Journal for Multidisciplinary Research 2, no. 4 (2024): 1495–508. https://doi.org/10.5281/zenodo.11069707.

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Information Security is now a major consideration for companies in protecting their data, customer’s information, and sensitive areas. Besides from protecting data it is also becoming evident that in the past years that software development is being challenged by hackers and other personnel in the field of information technology with negative motives. Challenge now arises not on the final product or the capability of a software to withstand these threats and attacks, but the challenge is to protect itself during the development phase. SDLC or software development life cycles has proven its worth in developing timely and effective software. With the new trend and security issues it is forfeiting to analyze the capabilities of the majority of the SDLCs in terms of security. The study will analyze each SDLC, namely waterfall, rapid application development, spiral, v-model, and agile using the phases indicated in the NIST Cybersecurity SDLC Framework which focuses on security. The study focused on how each phase of the NIST framework can be used on each model and highlight how security is managed on each SDLC. It is not the goal of this study to determine which SDLC is better and which is not. The study aims to explain and describe how each SDLC implements and possibly use security features in each of its phase using the NIST as the framework of the study.
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Shuford, Jeff. "An Expedited Examination of Responsible AI Frameworks: Directing Ethical AI Development." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 4, no. 1 (2024): 241–51. http://dx.doi.org/10.60087/jaigs.v4i1.138.

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In recent years, the rapid expansion of Artificial Intelligence (AI) and its integration into various aspects of daily life have ignited significant discourse on the ethical considerations governing its application. This study addresses these concerns by swiftly reviewing multiple frameworks designed to guide the development and utilization of Responsible AI (RAI) applications. Through this exploration, we analyze each framework's alignment with the Software Development Life Cycle (SDLC) phases, revealing a predominant focus on the Requirements Elicitation phase, with limited coverage of other stages. Furthermore, we note a scarcity of supportive tools, predominantly offered by private entities. Our findings underscore the absence of a comprehensive framework capable of accommodating both technical and non-technical stakeholders across all SDLC phases, thus revealing a notable gap in the current landscape. This study sheds light on the imperative need for a unified framework encompassing all RAI principles and SDLC phases, accessible to users of varying expertise and objectives.
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Church, Kimberly S., Pamela J. Schmidt, and Georgia Smedley. "Casey's Collections: A Strategic Decision-Making Case Using the Systems Development Lifecycle—Planning and Analysis Phases." Journal of Emerging Technologies in Accounting 13, no. 2 (2016): 231–45. http://dx.doi.org/10.2308/jeta-51472.

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ABSTRACT The Systems Development Life Cycle (SDLC) model, developed in the 1980s, remains the foundational model for strategic decision making regarding the development or acquisition of new information systems (IS). The SDLC model proposes five system development phases—planning, analysis, design, implementation, and maintenance—using a waterfall theory. These early phases of the SDLC require strategic decisions to be made regarding information systems. Strategic decision making is a model of multi-attribute utility theory, which helps promote decisions that maximize utility among multiple alternatives. This case provides students with experience in making reasoned strategic IT decisions by executing the planning and analysis phases in a new system acquisition life cycle. This educational case is structured to be the first of several cases covering the SDLC involving the same small fictitious public corporation, Casey's Collections. Upon completion of the case, students should have a deeper understanding and appreciation for the process of IS strategic decision making. In addition, students should better understand how to identify an information system's needs and prepare system proposals based on the generation and analysis of alternative solutions. This case is suitable for students in an introductory or graduate accounting systems course; it is also appropriate for use in a IS course on systems analysis and design.
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Goyal, Shanky, Navleen Kaur, and Sachin Majithia. "Software Security: Role in SDLC." CGC International Journal of Contemporary Technology and Research 3, no. 2 (2021): 205–10. http://dx.doi.org/10.46860/cgcijctr.2021.06.31.205.

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This research emphasizes mainly on the need for software security. Softwares are developing at a faster pace so it is required to impose security on them in order to secure them from cybercrimes. Softwares have been facing problems by the attackers who are constantly kept on breaching the Data. Therefore this survey comprises the phases that are an integral part of the SDLC from the security point of views such as Design and testing phase. Moreover, it quests upon the data related to threats and attacks. Not only this, but it also involves the prerequisites that have to be determined before developing the software like, what are the approaches that should be followed and what are the best suitable designs to secure the software?
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Jimoh, Rasheed Gbenga, Olayinka Olufunmilayo Olusanya, Joseph Bamidele Awotunde, Agbotiname Lucky Imoize, and Cheng-Chi Lee. "Identification of Risk Factors Using ANFIS-Based Security Risk Assessment Model for SDLC Phases." Future Internet 14, no. 11 (2022): 305. http://dx.doi.org/10.3390/fi14110305.

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In the field of software development, the efficient prioritizing of software risks was essential and play significant roles. However, finding a viable solution to this issue is a difficult challenge. The software developers have to adhere strictly to risk management practice because each phase of SDLC is faced with its individual type of risk rather than considering it as a general risk. Therefore, this study proposes an adaptive neuro-fuzzy inference system (ANFIS) for selection of appropriate risk factors in each stages of software development process. Existing studies viewed the SDLC’s Security risk assessment (SRA) as a single integrated process that did not offer a thorough SRA at each stage of the SDLC process, which resulted in unsecure software development. Hence, this study identify and validate the risk factors needed for assessing security risk at each phase of SDLC. For each phase, an SRA model based on an ANFIS was suggested, using the identified risk factors as inputs. For the logical representation of the fuzzification as an input and output variables of the SRA risk factors for the ANFIS-based model employing the triangular membership functions. The proposed model utilized two triangular membership functions to represent each risk factor’s label, while four membership functions were used to represent the labels of the target SRA value. Software developers chose the SRA risk factors that were pertinent in their situation from the proposed taxonomy for each level of the SDLC process as revealed by the results. As revealed from the study’s findings, knowledge of the identified risk factors may be valuable for evaluating the security risk throughout the SDLC process.
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Dissertations / Theses on the topic "SDLC Phases"

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Ahmed, Israr, and Shahid Nadeem. "Minimizing Defects Originating from Elicitation, Analysis and Negotiation (E and A&N) Phase in Bespoke Requirements Engineering." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4070.

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Defect prevention (DP) in early stages of software development life cycle (SDLC) is very cost effective than in later stages. The requirements elicitation and analysis & negotiation (E and A&N) phases in requirements engineering (RE) process are very critical and are major source of requirements defects. A poor E and A&N process may lead to a software requirements specifications (SRS) full of defects like missing, ambiguous, inconsistent, misunderstood, and incomplete requirements. If these defects are identified and fixed in later stages of SDLC then they could cause major rework by spending extra cost and effort. Organizations are spending about half of their total project budget on avoidable rework and majority of defects originate from RE activities. This study is an attempt to prevent requirements level defects from penetrates into later stages of SDLC. For this purpose empirical and literature studies are presented in this thesis. The empirical study is carried out with the help of six companies from Pakistan & Sweden by conducting interviews and literature study is done by using literature reviews. This study explores the most common requirements defect types, their reasons, severity level of defects (i.e. major or minor), DP techniques (DPTs) & methods, defect identification techniques that have been using in software development industry and problems in these DPTs. This study also describes possible major differences between Swedish and Pakistani software companies in terms of defect types and rate of defects originating from E and A&N phases. On the bases of study results, some solutions have been proposed to prevent requirements defects during the RE process. In this way we can minimize defects originating from E and A&N phases of RE in the bespoke requirements engineering (BESRE).
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Book chapters on the topic "SDLC Phases"

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Kruglov, Artem, Giancarlo Succi, and Zamira Kholmatova. "Metrics of Sustainability and Energy Efficiency of Software Products and Process." In Developing Sustainable and Energy-Efficient Software Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11658-2_2.

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AbstractThe early measuring of the software process attributes increases the chances of the software being cost-effective and energy-efficient. However, some of the crucial metrics are accessible only during the latter stages. Therefore, the set of measurements through the whole SDLC should be considered to evaluate the software development process attributes and lead the project to success. This chapter demonstrates the division of SDLC phases into early and late ones, different software quality evaluation methodologies, and a set of measurements.
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Rasheed, Zeeshan, Muhammad Waseem, Malik Abdul Sami, et al. "Autonomous Agents in Software Development: A Vision Paper." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72781-8_2.

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AbstractLarge Language Models (LLM) are reshaping the field of Software Engineering (SE). They enable innovative methods for executing many SE tasks, including automation of entire process of Software Development Life Cycle (SDLC). However, only a limited number of existing works have thoroughly explored the potential of LLM based AI agents to automate the entire lifecycle in SE. In this paper, we demonstrate the success of our initial efforts in automating the entire lifecycle autonomously based on given software specification as input, which has shown remarkable efficiency and significantly reduced development time. Our preliminary results suggest that the careful implementation of AI agents can enhance the development lifecycle. We aim to streamline the SDLC by integrating all phases into an AI-driven chat interface, enhancing efficiency and transparency. Furthermore, we seek to enhance collaboration, creating an environment where stakeholders from various backgrounds can contribute, review, and refine ideas and requirements in real-time. This forward-looking direction guarantees to redefine the paradigms of SE and also make software creation more inclusive, collaborative, and efficient.
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Dlamini, Gcinizwe, Shokhista Ergasheva, Zamira Kholmatova, et al. "Metrics for Software Process Quality Assessment in the Late Phases of SDLC." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10461-9_44.

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Hoti, Drin, Monika Maloku, and Klinton Gashi. "SDLC Phases of a Mobile Application." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8582-8.ch013.

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Class models are an essential part of mobile game architecture, providing a framework for organizing and structuring the code. These models help developers to understand the relationships and dependencies between different objects in the game, allowing for more efficient and effective code development. The use of class models is likely to continue to evolve and improve in the future, as mobile games become more complex and sophisticated. As AI and ML technologies become more advanced, developers will need to create new classes and models to represent these technologies in mobile games. Additionally, the use of cloud computing and other distributed technologies is likely to become more prevalent, requiring the creation of new classes and models to represent these technologies in the game. Overall, class models will play a critical role in enabling developers to create more engaging and immersive mobile gameplay experiences.
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Dahiya, Naveen, Vishal Bhatnagar, Manjeet Singh, and Neeti Sangwan. "Applications of Data Mining in Software Development Life Cycle." In Data Mining and Analysis in the Engineering Field. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6086-1.ch004.

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Data mining has proven to be an important technique in terms of efficient information extraction, classification, clustering, and prediction of future trends from a database. The valuable properties of data mining have been put to use in many applications. One such application is Software Development Life Cycle (SDLC), where effective use of data mining techniques has been made by researchers. An exhaustive survey on application of data mining in SDLC has not been done in the past. In this chapter, the authors carry out an in-depth survey of existing literature focused towards application of data mining in SDLC and propose a framework that will classify the work done by various researchers in identification of prominent data mining techniques used in various phases of SDLC and pave the way for future research in the emerging area of data mining in SDLC.
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Dahiya, Naveen, Vishal Bhatnagar, Manjeet Singh, and Neeti Sangwan. "Applications of Data Mining in Software Development Life Cycle." In Business Intelligence. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9562-7.ch029.

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Data mining has proven to be an important technique in terms of efficient information extraction, classification, clustering, and prediction of future trends from a database. The valuable properties of data mining have been put to use in many applications. One such application is Software Development Life Cycle (SDLC), where effective use of data mining techniques has been made by researchers. An exhaustive survey on application of data mining in SDLC has not been done in the past. In this chapter, the authors carry out an in-depth survey of existing literature focused towards application of data mining in SDLC and propose a framework that will classify the work done by various researchers in identification of prominent data mining techniques used in various phases of SDLC and pave the way for future research in the emerging area of data mining in SDLC.
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Kamalraj, R., H. R. Swapna, and Digvijay Pandey. "Selection and Prediction of Sustainable Software Test Bed for Sustainable Test Environment." In Impact of Climate Change on Mental Health and Well-Being. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2177-5.ch006.

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The perception of the entire world is to have sustainable products to maintain the green environment. But nowadays the environment temperature is slightly increased in many urban places due to many reasons. One of the reasons is the heavy usage of computer machines for running all commercial applications. To build such applications, the CASE (computer-aided software engineering) tools are used from ‘requirements analysis' phase to ‘software maintenance' phase. Among all SDLC (software development life cycle) phases, the software testing consumes more power and computing resources for delivering good quality software products to the customer.
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Cameron, Brian H. "The Changing Nature of Business Process Modeling." In Handbook of Research on Enterprise Systems. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-859-8.ch004.

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Business process modeling (BPM) is a topic that is generating much interest in the information technology (IT) industry today. Business analysts, process designers, system architects, software engineers, and systems consultants must understand the foundational concepts behind BPM and evolving modeling standards and technologies that have the potential to dramatically change the nature of phases of the systems development life cycle (SDLC). Pareto’s 80/20 rule, as applied to the SDLC, is in the process of being drastically altered. In the past, approximately 20 % of the SDLC was spent on analysis and design activities with the remaining 80 % spent on systems development and implementation (Weske, Goesmann, Holten, & Striemer, 1999). Today, with the introduction of the Business Process Management Initiative (BPMI), Web services, and the services-oriented architecture (SOA), the enterprise SDLC paradigm is poised for a dramatic shift. In this new paradigm, approximately 80 % of the SDLC is spent on analysis and design activities with the remaining 20 % spent of systems development and implementation. Once referred to as workflow and process automation, business process modeling (BPM) has evolved into a suite of interrelated components providing significant business value. Emerging BPM technologies will be the primary vehicle by which current application portfolios transition to service-oriented architectures and Web services (Aversano, & Canfora, 2002). Business Process Management Initiative’s Business Process Modeling Notation (BPMN) subgroup is currently finalizing a standardized notation for business process modeling. Although the notation is still in working draft format, system architects and designers should consider incorporating the concepts of BPM into their current and future systems analysis and design procedures.
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Cameron, Brian H. "The Changing Nature of Business Process Modeling." In Business Information Systems. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch003.

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Business process modeling (BPM) is a topic that is generating much interest in the information technology (IT) industry today. Business analysts, process designers, system architects, software engineers, and systems consultants must understand the foundational concepts behind BPM and evolving modeling standards and technologies that have the potential to dramatically change the nature of phases of the systems development life cycle (SDLC). Pareto’s 80/20 rule, as applied to the SDLC, is in the process of being drastically altered. In the past, approximately 20 % of the SDLC was spent on analysis and design activities with the remaining 80 % spent on systems development and implementation (Weske, Goesmann, Holten, & Striemer, 1999). Today, with the introduction of the Business Process Management Initiative (BPMI), Web services, and the services-oriented architecture (SOA), the enterprise SDLC paradigm is poised for a dramatic shift. In this new paradigm, approximately 80 % of the SDLC is spent on analysis and design activities with the remaining 20 % spent of systems development and implementation. Once referred to as workflow and process automation, business process modeling (BPM) has evolved into a suite of interrelated components providing significant business value. Emerging BPM technologies will be the primary vehicle by which current application portfolios transition to service-oriented architectures and Web services (Aversano, & Canfora, 2002). Business Process Management Initiative’s Business Process Modeling Notation (BPMN) subgroup is currently finalizing a standardized notation for business process modeling. Although the notation is still in working draft format, system architects and designers should consider incorporating the concepts of BPM into their current and future systems analysis and design procedures.
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Cameron, B. "The Changing Nature of Business Process Modeling." In Enterprise Architecture and Integration. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-887-1.ch007.

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Business process modeling (BPM) is a topic that is generating much interest in the information technology industry today. Business analysts, process designers, system architects, software engineers, and systems consultants must understand the foundational concepts behind BPM and evolving modeling standards and technologies that have the potential to dramatically change the nature of phases of the systems development life cycle (SDLC). Pareto’s 80/20 rule, as applied to the SDLC, is in the process of being drastically altered. In the past, approximately 20% of the SDLC was spent on analysis and design activities with the remaining 80% spent on systems development and implementation (Weske, Goesmann, Holten, & Striemer, 1999). Today, with the introduction of the Business Process Management Initiative (BPMI), Web services, and the services-oriented architecture (SOA), the enterprise SDLC paradigm is poised for a dramatic shift. In this new paradigm, approximately 80% of the SDLC is spent on analysis and design activities with the remaining 20% spent on systems development and implementation. Once referred to as process or workflow automation, BPM has evolved into a suite of interrelated components for systems analysis, design, and development. Emerging BPM standards and technologies will be the primary vehicles by which current systems portfolios transition to Web services and service-oriented architectures (Aversano, & Canfora, 2002). The Business Process Management Initiative’s business process modeling notation (BPMN) subgroup is currently finalizing a standardized notation for business process modeling. Although the notation is still in working-draft format, system architects and designers should consider incorporating the concepts of BPM into their current and future systems analysis and design procedures.
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Conference papers on the topic "SDLC Phases"

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Braga, Carlos Mario. "Towards a process for Trustworthy AI systems development." In Congresso Ibero-Americano em Engenharia de Software. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/cibse.2025.35306.

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This work aims to define a comprehensive Software Development Life Cycle (SDLC) tailored for Trustworthy Artificial Intelligence (AI) systems. These systems are understood as full software solutions that incorporate AI components— such as machine learning models or intelligent agents—whose behavior must align with ethical principles, legal requirements, and technical robustness. The proposed SDLC is grounded on a multidimensional taxonomy of trustworthiness, covering aspects such as lawfulness, non-maleficence, beneficence, autonomy, justice, explicability, and technology. By integrating these principles into all development phases, the SDLC supports the design of AI systems that are not only effective and innovative but also aligned with human values, regulations, and societal expectations. The methodology follows a Design Science Research approach, ensuring the model’s relevance, feasibility, and adaptability to evolving technological and regulatory contexts.
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Şaykol, Ediz. "An Economic Analysis of Software Development Process based on Cost Models." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00427.

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Software development process generally includes requirement analysis, design, implementation, and testing phases. The overall process is called Software Development Life Cycle (SDLC). Each of these steps was executed sequentially in earlier times, i.e. the output of a step is used as the input to the following step. This sequential execution is called waterfall process, and since the total duration of SDLC has been increasing, more dynamic models need to be employed in today’s software engineering methodologies. V-Shaped model, Spiral model, Incremental or iterative software development model, are some examples of these methodologies. On the other hand, due to the increase in the total number of projects for a company and due to the product variability, reusability aspect has entered into the domain. This aspect gained importance in the recent years, leading to the execution of framework-based models and software product line engineering process. In this study, the above methodologies are analyzed from an economic perspective with respect to their cost models. Reusability will require upfront investment, but the gain will be higher as the number of common software items increases, which are determined in commonality/variability analysis phase. Improvements in SDLC might also require organizational changes to adapt new methodologies. These considerations are discussed along with the cost model analysis, and a cost-evaluation criterion is provided in the paper.
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Lekh, Rachna, and Pooja. "Exhaustive study of SDLC phases and their best praxctices to create CDP model for process improvement." In 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA). IEEE, 2015. http://dx.doi.org/10.1109/icacea.2015.7164852.

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Julià, Pau, David Salvador, and Marc Peña. "Security in Agile Development, use Case in Typeform." In 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111809.

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Software development methodologies have evolved during the last years to reduce the time to market to the minimum possible. Agile is one of the most common and used methodologies for rapid application development. As the agile manifesto defines in its 12 principles, one of its main goals is to satisfy the customer needs through early and continuous delivery of valuable software. Significantly, that none of the principles refers to security. In this paper, we will explain how Typeform integrates security activities into the whole development process, reducing at the same time the phases on the S-SDLC to reduce friction and improve delivery while maintaining the security level.
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Kumar, R., S. K. Pandey, and S. I. Ahson. "Security in Coding Phase of SDLC." In 2007 Third International Conference on Wireless Communication and Sensor Networks. IEEE, 2007. http://dx.doi.org/10.1109/wcsn.2007.4475760.

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Shaikh, Mehwish, Pir Hamid Ali Qureshi, Murk Shaikh, Qasim Ali Arain, Asma Zubedi, and Pireh Shaikh. "Security Paradigms In SDLC Requirement Phase — A Comparative Analysis Approach." In 2021 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2021. http://dx.doi.org/10.1109/iceet53442.2021.9659614.

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Prakash, Gyan, Anshi Mitra, Rohit Agarwal, and Dr Komal Asrani. "AUTONOME: A CENTRALIZED PLATFORM FOR COMPREHENSIVE PROJECT MANAGEMENT." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.11.

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In the rapidly evolving field of project management, the need for a universal, adaptable, and user-friendly system is more critical than ever. This paper introduces "Autonome: The Universal Project Management System", a groundbreaking solution designed to address these needs. The main aim of this project is to create an automated system for managing all the activities of projects. The system includes the project application and review module, project opening management module, project progress management module, project completion management module, and project research results display module, which realizes the distributed submission of project declaration, opening report, progress report, and conclusion report. Autonome integrates key quality attributes of software usability into every phase of the Software Development Life Cycle (SDLC)[10], thereby reducing latent and patent flaws and enhancing user satisfaction. By comparing various SDLC models, Autonome has been designed to fulfill diverse customer requirements, thereby addressing the industry-wide issue of underutilized software. Furthermore, Autonome facilitates effective stakeholder engagement through governance-based, value-based, and dynamism-based solutions, ensuring value delivery to all stakeholders. The system also acknowledges and addresses the inherent complexity of projects, incorporating a procedure for the quantitative assessment of structural complexity. Preliminary results indicate that Autonome significantly enhances project efficiency, stakeholder satisfaction, and team productivity. This paper delves into the design, implementation, and potential impact of Autonome, heralding a new era in project management.
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Zhang, S. L., C. X. Li, and C. J. Li. "Microstructure and Properties of Suspension Plasma Sprayed SrTiO3-Based Anodes for Intermediate-Temperature Solid Oxide Fuel Cells." In ITSC 2014, edited by R. S. Lima, A. Agarwal, M. M. Hyland, et al. DVS Media GmbH, 2014. http://dx.doi.org/10.31399/asm.cp.itsc2014p0768.

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Abstract Lanthanum-doped strontium titanate (LST) and samarium-doped ceria (SDC) are promising materials for intermediate-temperature solid oxide fuel cells (IT-SOFCs). In this study, LST-SDC composite anodes are produced by suspension plasma spraying and the effects of annealing are assessed. XRD results show that the coatings and powders have the same phase structure. The coatings have a fine porous structure which is beneficial for gas permeability and long three-phase boundaries that facilitate anode reactions. A single cell based on the LST-SDC composite anode was found to perform well at 650-800°C. The results show that annealing improves interface bonding between particles in the anode and at the interface between the anode and electrolyte.
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Rao Moparthi, A. Nageswara, and B. Dr N. Geethanjali. "Design and implementation of hybrid phase based ensemble technique for defect discovery using SDLC software metrics." In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538287.

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Zhang, Lingling, Xue Li, Siwei Wang, Kevin Gregory Romito, and Kevin Huang. "Synthesis of Mixed Oxide-Ion and Carbonate-Ion Conductors Supported by a Prefabricated Porous Solid Oxide Matrix." In ASME 2011 9th International Conference on Fuel Cell Science, Engineering and Technology collocated with ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/fuelcell2011-54076.

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A novel two-step approach is used to fabricate a two-phase mixed oxide-ion and carbonate-ion conductor (MOCC) that has been recently developed for intermediate temperature solid oxide fuel cells (IT-SOFCs) and CO2 separation membranes. In this study, a samarium doped ceria (SDC) is selected as an example to demonstrate the prefabrication of porous matrix by the “sacrificial template” methodology with NiO as the template material. NiO has been reduced into elemental Ni in the composite, and then removed by dissolving into a nitric acid. It was demonstrated by XRD, EDS and weight changes. The microstructure of the SDC matrix characterized with an SEM imaging reveals a uniform distribution of homogeneous micro-pores across the solid-oxide matrix. The strong porous solid-oxide matrix is prefabricated at high temperature, into which a molten carbonate phase is subsequently infiltrated. A Li-Na-carbonate-impregnated MOCC supported by a 41.8% porous SDC matrix shows an effective ionic conductivity of 0.43 S/cm at 650 °C.
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